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context-engineering-collection
A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems.
This is a pure documentation/educational skill collection focused on context engineering for AI agents. All Python scripts are benign pseudocode or educational utilities with zero malicious patterns detected.
Skill Namecontext-engineering-collection
Duration82.5s
Enginepi
✓
Safe to install
This skill collection is safe to use. No security concerns were identified. All scripts are either documentation, pseudocode demonstrating architectural patterns, or simple utility functions with no dangerous operations.
ResourceDeclaredInferredStatusEvidence
Filesystem NONE NONE — Filesystem operations are limited to self-contained demo paths (e.g., 'scratch/'…
Network NONE NONE — No HTTP/network calls found in any skill scripts. References to URLs are sample …
Shell NONE NONE — No subprocess, os.system, os.popen, or any shell execution found. install.sh per…
Environment NONE NONE — No os.environ iteration or environment variable access found.
Skill Invoke NONE NONE — No dynamic skill invocation or skill loading beyond standard documentation refer…
Clipboard NONE NONE — No clipboard access detected.
Browser NONE NONE — No browser automation found.
Database NONE NONE — No database operations found.
175 findings
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Medium External URL 外部 URL
https://arxiv.org/pdf/2601.21557
README.md:17
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Medium External URL 外部 URL
https://x.com/koylanai
README.md:228
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Medium External URL 外部 URL
https://karpathy.bearblog.dev/auto-grade-hn/
docs/hncapsule.md:5
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Medium External URL 外部 URL
https://karpathy.ai/hncapsule/
docs/hncapsule.md:11
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Medium External URL 外部 URL
https://vercel.com/blog/we-removed-80-percent-of-our-agents-tools
docs/vercel_tool.md:5
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Medium External URL 外部 URL
https://huggingface.co/datasets/MuratcanKoylan/gertrude-stein-style-sft
examples/book-sft-pipeline/README.md:72
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Medium External URL 外部 URL
https://arxiv.org/pdf/2510.13939
examples/book-sft-pipeline/README.md:73
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Medium External URL 外部 URL
https://thinkingmachines.ai/blog/lora/
examples/book-sft-pipeline/references/tinker.txt:36
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Medium External URL 外部 URL
https://thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/
examples/book-sft-pipeline/references/tinker.txt:131
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Medium External URL 外部 URL
https://arxiv.org/abs/1707.06347
examples/book-sft-pipeline/references/tinker.txt:168
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2402.03300
examples/book-sft-pipeline/references/tinker.txt:213
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Medium External URL 外部 URL
https://arxiv.org/abs/2505.17508
examples/book-sft-pipeline/references/tinker.txt:214
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2506.09477
examples/book-sft-pipeline/references/tinker.txt:214
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Medium External URL 外部 URL
https://arxiv.org/abs/2506.13585
examples/book-sft-pipeline/references/tinker.txt:219
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2510.13786
examples/book-sft-pipeline/references/tinker.txt:219
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2405.19107
examples/book-sft-pipeline/references/tinker.txt:252
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Medium External URL 外部 URL
https://arxiv.org/abs/2501.12599
examples/book-sft-pipeline/references/tinker.txt:252
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2009.01325
examples/book-sft-pipeline/references/tinker.txt:310
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Medium External URL 外部 URL
https://arxiv.org/abs/2305.18290
examples/book-sft-pipeline/references/tinker.txt:310
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2106.09685
examples/book-sft-pipeline/references/tinker.txt:449
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Medium External URL 外部 URL
https://thinkingmachines.ai/blog/lora
examples/book-sft-pipeline/references/tinker.txt:459
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Medium External URL 外部 URL
https://inspect.aisi.org.uk/tasks.html
examples/book-sft-pipeline/references/tinker.txt:564
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Medium External URL 外部 URL
https://thinkingmachines.ai/blog/on-policy-distillation/images/chess.png
examples/book-sft-pipeline/references/tinker.txt:1111
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Medium External URL 外部 URL
https://huggingface.co/docs/transformers/en/chat_templating
examples/book-sft-pipeline/references/tinker.txt:1267
🔗
Medium External URL 外部 URL
https://tinker-console.thinkingmachines.ai
examples/book-sft-pipeline/references/tinker.txt:1545
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct
examples/book-sft-pipeline/references/tinker.txt:1667
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct
examples/book-sft-pipeline/references/tinker.txt:1668
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507
examples/book-sft-pipeline/references/tinker.txt:1669
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507
examples/book-sft-pipeline/references/tinker.txt:1670
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-30B-A3B
examples/book-sft-pipeline/references/tinker.txt:1671
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-30B-A3B-Base
examples/book-sft-pipeline/references/tinker.txt:1672
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-32B
examples/book-sft-pipeline/references/tinker.txt:1673
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-8B
examples/book-sft-pipeline/references/tinker.txt:1674
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-8B-Base
examples/book-sft-pipeline/references/tinker.txt:1675
🔗
Medium External URL 外部 URL
https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507
examples/book-sft-pipeline/references/tinker.txt:1676
🔗
Medium External URL 外部 URL
https://huggingface.co/openai/gpt-oss-120b
examples/book-sft-pipeline/references/tinker.txt:1677
🔗
Medium External URL 外部 URL
https://huggingface.co/openai/gpt-oss-20b
examples/book-sft-pipeline/references/tinker.txt:1678
🔗
Medium External URL 外部 URL
https://huggingface.co/deepseek-ai/DeepSeek-V3.1
examples/book-sft-pipeline/references/tinker.txt:1679
🔗
Medium External URL 外部 URL
https://huggingface.co/deepseek-ai/DeepSeek-V3.1-Base
examples/book-sft-pipeline/references/tinker.txt:1680
🔗
Medium External URL 外部 URL
https://huggingface.co/meta-llama/Llama-3.1-70B
examples/book-sft-pipeline/references/tinker.txt:1681
🔗
Medium External URL 外部 URL
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
examples/book-sft-pipeline/references/tinker.txt:1682
🔗
Medium External URL 外部 URL
https://huggingface.co/meta-llama/Llama-3.1-8B
examples/book-sft-pipeline/references/tinker.txt:1683
🔗
Medium External URL 外部 URL
https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct
examples/book-sft-pipeline/references/tinker.txt:1684
🔗
Medium External URL 外部 URL
https://huggingface.co/meta-llama/Llama-3.2-3B
examples/book-sft-pipeline/references/tinker.txt:1685
🔗
Medium External URL 外部 URL
https://huggingface.co/meta-llama/Llama-3.2-1B
examples/book-sft-pipeline/references/tinker.txt:1686
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Medium External URL 外部 URL
https://huggingface.co/moonshotai/Kimi-K2-Thinking
examples/book-sft-pipeline/references/tinker.txt:1687
🔗
Medium External URL 外部 URL
https://huggingface.co/datasets/HuggingFaceH4/no_robots
examples/book-sft-pipeline/references/tinker.txt:1846
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Medium External URL 外部 URL
https://arxiv.org/abs/2203.02155
examples/book-sft-pipeline/references/tinker.txt:1846
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Medium External URL 外部 URL
https://huggingface.co/datasets/Anthropic/hh-rlhf
examples/book-sft-pipeline/references/tinker.txt:1851
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Medium External URL 外部 URL
https://huggingface.co/datasets/openai/gsm8k
examples/book-sft-pipeline/references/tinker.txt:1866
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Medium External URL 外部 URL
http://joschu.net/blog/kl-approx.html
examples/book-sft-pipeline/references/tinker.txt:2101
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/1811.03600
examples/book-sft-pipeline/references/tinker.txt:2254
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/api-reference/chat
examples/book-sft-pipeline/references/tinker.txt:2543
🔗
Medium External URL 外部 URL
https://discord.gg/KqqEZNX88c
examples/book-sft-pipeline/references/tinker.txt:2547
🔗
Medium External URL 外部 URL
https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1
examples/book-sft-pipeline/references/tinker.txt:2565
🔗
Medium External URL 外部 URL
https://thinkingmachines.ai/legal/terms/
examples/book-sft-pipeline/references/tinker.txt:2618
🔗
Medium External URL 外部 URL
https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents
examples/digital-brain-skill/SKILL.md:194
🔗
Medium External URL 外部 URL
https://twitter.com/user/status/123456789
examples/digital-brain-skill/examples/content-workflow.md:167
🔗
Medium External URL 外部 URL
https://twitter.com/sarahchen_ai
examples/digital-brain-skill/examples/meeting-prep.md:43
🔗
Medium External URL 外部 URL
https://linkedin.com/in/sarahchen
examples/digital-brain-skill/examples/meeting-prep.md:44
🔗
Medium External URL 外部 URL
https://twitter.com/johndoe
examples/digital-brain-skill/references/file-formats.md:93
🔗
Medium External URL 外部 URL
https://linkedin.com/in/johndoe
examples/digital-brain-skill/references/file-formats.md:94
🔗
Medium External URL 外部 URL
https://johndoe.com
examples/digital-brain-skill/references/file-formats.md:95
🔗
Medium External URL 外部 URL
https://api.minimax.io/anthropic
examples/interleaved-thinking/README.md:106
🔗
Medium External URL 外部 URL
https://www.minimax.io/platform/docs
examples/interleaved-thinking/README.md:609
🔗
Medium External URL 外部 URL
https://www.minimax.io/platform/docs/M2.1
examples/interleaved-thinking/README.md:610
🔗
Medium External URL 外部 URL
https://platform.minimax.io/docs
examples/interleaved-thinking/SKILL.md:209
🔗
Medium External URL 外部 URL
https://huggingface.co/MiniMaxAI/MiniMax-M2
examples/interleaved-thinking/docs/agentthinking.md:3
🔗
Medium External URL 外部 URL
https://filecdn.minimax.chat/public/3b580365-f77b-4a06-9c8c-d7a3e1e9676a.jpeg
examples/interleaved-thinking/docs/agentthinking.md:41
🔗
Medium External URL 外部 URL
https://platform.minimax.io/docs/llms.txt
examples/interleaved-thinking/docs/agentthinking.md:63
🔗
Medium External URL 外部 URL
https://filecdn.minimax.chat/public/4f4b43c1-f0a5-416a-8770-1a4f80feeb1e.png
examples/interleaved-thinking/docs/interleavedthinking.md:7
🔗
Medium External URL 外部 URL
https://api.minimaxi.com/anthropic
examples/interleaved-thinking/docs/interleavedthinking.md:52
🔗
Medium External URL 外部 URL
https://api.minimax.io/v1
examples/interleaved-thinking/docs/interleavedthinking.md:235
🔗
Medium External URL 外部 URL
https://api.minimaxi.com/v1
examples/interleaved-thinking/docs/interleavedthinking.md:235
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/api/client-sdks
examples/interleaved-thinking/docs/m2-1.md:197
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching
examples/interleaved-thinking/examples/03_full_optimization.py:175
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Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents
examples/interleaved-thinking/examples/03_full_optimization.py:180
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/text-generation
examples/interleaved-thinking/examples/03_full_optimization.py:185
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2201.11903
examples/interleaved-thinking/examples/03_full_optimization.py:197
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques
examples/interleaved-thinking/examples/03_full_optimization.py:204
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering
examples/interleaved-thinking/examples/03_full_optimization.py:209
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging
examples/interleaved-thinking/examples/03_full_optimization.py:216
🔗
Medium External URL 外部 URL
https://docs.wandb.ai/guides/prompts
examples/interleaved-thinking/examples/03_full_optimization.py:221
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/context-windows
examples/interleaved-thinking/examples/03_full_optimization.py:228
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2307.03172
examples/interleaved-thinking/examples/03_full_optimization.py:233
🔗
Medium External URL 外部 URL
https://docs.anthropic.com
examples/interleaved-thinking/examples/03_full_optimization.py:767
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs
examples/interleaved-thinking/examples/03_full_optimization.py:768
🔗
Medium External URL 外部 URL
https://www.minimax.io
examples/interleaved-thinking/examples/03_full_optimization.py:769
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs
examples/interleaved-thinking/examples/03_full_optimization.py:819
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai
examples/interleaved-thinking/examples/03_full_optimization.py:824
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/context-management
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:63
🔗
Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents\n\n2.
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:132
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching\n\n3.
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:132
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2307.03172\n
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:132
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering\n\n5.
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:132
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n\n6.
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:132
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging\n\n---\n\n##
examples/interleaved-thinking/optimization_artifacts/iteration_1/trace.txt:132
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2307.03172\n\n2.
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents\n\n3.
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching\n\n4.
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/text-generation\n\n5.
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering\n\n6.
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n\n7.
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging\n\n---\n\n*Report
examples/interleaved-thinking/optimization_artifacts/iteration_10/trace.txt:127
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2201.11903\n\n###
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents\n\n4.
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching\n\n5.
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/text-generation\n\n7.
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n\n###
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging\n\n9.
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://docs.wandb.ai/guides/prompts\n\n---\n\n##
examples/interleaved-thinking/optimization_artifacts/iteration_2/trace.txt:94
🔗
Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents\n-
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:99
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering\n-
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:102
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n-
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:102
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2307.03172\n-
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:105
🔗
Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents\n
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:115
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching\n
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:115
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering\n
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:115
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:115
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging\n
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:115
🔗
Medium External URL 外部 URL
https://docs.wandb.ai/guides/prompts\n
examples/interleaved-thinking/optimization_artifacts/iteration_3/trace.txt:115
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2307.03172\n\n3.
examples/interleaved-thinking/optimization_artifacts/iteration_4/trace.txt:115
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/text-generation\n\n4.
examples/interleaved-thinking/optimization_artifacts/iteration_4/trace.txt:115
🔗
Medium External URL 外部 URL
https://docs.anthropic.com/en/docs/build-with-claude/prompt-caching\n\n6.
examples/interleaved-thinking/optimization_artifacts/iteration_4/trace.txt:115
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging\n\n8.
examples/interleaved-thinking/optimization_artifacts/iteration_4/trace.txt:115
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2201.11903\n\n---\n\n*Report
examples/interleaved-thinking/optimization_artifacts/iteration_4/trace.txt:115
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2201.11903\n
examples/interleaved-thinking/optimization_artifacts/iteration_5/trace.txt:102
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering\n\n4.
examples/interleaved-thinking/optimization_artifacts/iteration_6/trace.txt:99
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n\n5.
examples/interleaved-thinking/optimization_artifacts/iteration_6/trace.txt:99
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/text-generation\n\n6.
examples/interleaved-thinking/optimization_artifacts/iteration_6/trace.txt:99
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2201.11903\n\n---\n\n##
examples/interleaved-thinking/optimization_artifacts/iteration_6/trace.txt:99
🔗
Medium External URL 外部 URL
https://www.anthropic.com/research/building-effective-agents\n2.
examples/interleaved-thinking/optimization_artifacts/iteration_8/trace.txt:93
🔗
Medium External URL 外部 URL
https://arxiv.org/abs/2307.03172\n3.
examples/interleaved-thinking/optimization_artifacts/iteration_8/trace.txt:93
🔗
Medium External URL 外部 URL
https://platform.openai.com/docs/guides/prompt-engineering\n4.
examples/interleaved-thinking/optimization_artifacts/iteration_8/trace.txt:93
🔗
Medium External URL 外部 URL
https://www.promptingguide.ai/techniques\n5.
examples/interleaved-thinking/optimization_artifacts/iteration_8/trace.txt:93
🔗
Medium External URL 外部 URL
https://python.langchain.com/docs/how_to/debugging\n\n7.
examples/interleaved-thinking/optimization_artifacts/iteration_9/trace.txt:118
🔗
Medium External URL 外部 URL
https://eugeneyan.com/writing/llm-evaluators/
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213 files · 2.0 MB · 46387 lines
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│ ├─ 📝 agentskills.md Markdown 1263L · 51.6 KB
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├─ ▾ 📁 examples
│ ├─ ▾ 📁 book-sft-pipeline
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│ │ │ └─ ▾ 📁 gertrude-stein
│ │ │ ├─ 📝 README.md Markdown 168L · 5.5 KB
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│ │ │ ├─ 📝 segmentation-strategies.md Markdown 324L · 10.9 KB
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│ │ │ └─ 🐍 pipeline_example.py Python 187L · 6.7 KB
│ │ ├─ 📝 README.md Markdown 78L · 2.4 KB
│ │ └─ 📝 SKILL.md Markdown 380L · 14.3 KB
│ ├─ ▾ 📁 digital-brain-skill
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│ │ │ ├─ ▾ 📁 scripts
│ │ │ │ ├─ 🐍 content_ideas.py Python 132L · 4.4 KB
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│ │ │ ├─ ▾ 📁 templates
│ │ │ │ ├─ 📝 linkedin-post.md Markdown 102L · 1.7 KB
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│ │ ├─ ▾ 📁 examples
│ │ │ ├─ 📝 content-workflow.md Markdown 204L · 4.6 KB
│ │ │ └─ 📝 meeting-prep.md Markdown 243L · 5.9 KB
│ │ ├─ ▾ 📁 identity
│ │ │ ├─ ▾ 📁 prompts
│ │ │ │ ├─ 📄 content-generation.xml XML 46L · 1.5 KB
│ │ │ │ └─ 📄 reply-generator.xml XML 40L · 1.3 KB
│ │ │ ├─ 📝 bio-variants.md Markdown 101L · 1.8 KB
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│ │ │ └─ 🔧 install.sh Shell 79L · 2.0 KB
│ │ ├─ 📝 AGENT.md Markdown 35L · 1.6 KB
│ │ ├─ 📝 HOW-SKILLS-BUILT-THIS.md Markdown 407L · 13.1 KB
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│ │ ├─ ▾ 📁 docs
│ │ │ ├─ 📝 agentthinking.md Markdown 62L · 6.4 KB
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│ │ ├─ ▾ 📁 examples
│ │ │ ├─ 🐍 01_basic_capture.py Python 76L · 2.3 KB
│ │ │ ├─ 🐍 02_tool_usage.py Python 187L · 5.9 KB
│ │ │ └─ 🐍 03_full_optimization.py Python 1222L · 40.2 KB
│ │ ├─ ▾ 📁 generated_skills
│ │ │ └─ ▾ 📁 comprehensive-research-agent
│ │ │ ├─ ▾ 📁 references
│ │ │ │ ├─ 📋 optimization_summary.json JSON 8L · 907 B
│ │ │ │ ├─ 📄 optimized_prompt.txt Text 1L · 81 B
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│ │ │ ├─ ▾ 📁 iteration_1
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│ │ │ │ ├─ 📄 analysis.txt Text 49L · 3.6 KB
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│ │ │ │ ├─ 📄 analysis.txt Text 45L · 2.6 KB
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│ │ ├─ ▾ 📁 reasoning_trace_optimizer
│ │ │ ├─ 🐍 __init__.py Python 53L · 1.2 KB
│ │ │ ├─ 🐍 analyzer.py Python 465L · 16.2 KB
│ │ │ ├─ 🐍 capture.py Python 417L · 14.7 KB
│ │ │ ├─ 🐍 cli.py Python 271L · 8.7 KB
│ │ │ ├─ 🐍 loop.py Python 468L · 18.1 KB
│ │ │ ├─ 🐍 models.py Python 193L · 5.0 KB
│ │ │ ├─ 🐍 optimizer.py Python 449L · 14.7 KB
│ │ │ └─ 🐍 skill_generator.py Python 502L · 16.5 KB
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│ │ │ ├─ 🐍 __init__.py Python 1L · 44 B
│ │ │ └─ 🐍 test_models.py Python 144L · 4.0 KB
│ │ ├─ 📄 pyproject.toml TOML 70L · 2.0 KB
│ │ ├─ 📝 README.md Markdown 620L · 20.3 KB
│ │ └─ 📝 SKILL.md Markdown 221L · 6.5 KB
│ ├─ ▾ 📁 llm-as-judge-skills
│ │ ├─ ▾ 📁 agents
│ │ │ ├─ ▾ 📁 evaluator-agent
│ │ │ │ └─ 📝 evaluator-agent.md Markdown 177L · 4.4 KB
│ │ │ ├─ ▾ 📁 orchestrator-agent
│ │ │ │ └─ 📝 orchestrator-agent.md Markdown 205L · 4.9 KB
│ │ │ ├─ ▾ 📁 research-agent
│ │ │ │ └─ 📝 research-agent.md Markdown 183L · 4.5 KB
│ │ │ └─ 📝 index.md Markdown 114L · 2.6 KB
│ │ ├─ ▾ 📁 examples
│ │ │ ├─ 📜 basic-evaluation.ts TypeScript 89L · 2.8 KB
│ │ │ ├─ 📜 full-evaluation-workflow.ts TypeScript 136L · 4.6 KB
│ │ │ ├─ 📜 generate-rubric.ts TypeScript 67L · 2.1 KB
│ │ │ └─ 📜 pairwise-comparison.ts TypeScript 97L · 3.1 KB
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│ │ │ ├─ ▾ 📁 agent-system
│ │ │ │ └─ 📝 orchestrator-prompt.md Markdown 197L · 5.7 KB
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│ │ │ │ ├─ 📝 direct-scoring-prompt.md Markdown 153L · 3.9 KB
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│ │ │ │ └─ 📝 research-synthesis-prompt.md Markdown 171L · 4.2 KB
│ │ │ └─ 📝 index.md Markdown 138L · 3.1 KB
│ │ ├─ ▾ 📁 skills
│ │ │ ├─ ▾ 📁 context-fundamentals
│ │ │ │ └─ 📝 context-fundamentals.md Markdown 114L · 3.1 KB
│ │ │ ├─ ▾ 📁 llm-evaluator
│ │ │ │ └─ 📝 llm-evaluator.md Markdown 77L · 2.6 KB
│ │ │ ├─ ▾ 📁 tool-design
│ │ │ │ └─ 📝 tool-design.md Markdown 198L · 5.1 KB
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│ │ ├─ ▾ 📁 src
│ │ │ ├─ ▾ 📁 agents
│ │ │ │ ├─ 📜 evaluator.ts TypeScript 112L · 2.8 KB
│ │ │ │ └─ 📜 index.ts TypeScript 3L · 129 B
│ │ │ ├─ ▾ 📁 config
│ │ │ │ └─ 📜 index.ts TypeScript 18L · 427 B
│ │ │ ├─ ▾ 📁 tools
│ │ │ │ └─ ▾ 📁 evaluation
│ │ │ │ ├─ 📜 direct-score.ts TypeScript 164L · 5.3 KB
│ │ │ │ ├─ 📜 generate-rubric.ts TypeScript 161L · 4.7 KB
│ │ │ │ ├─ 📜 index.ts TypeScript 9L · 668 B
│ │ │ │ └─ 📜 pairwise-compare.ts TypeScript 255L · 7.7 KB
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│ │ │ ├─ 📜 evaluation.test.ts TypeScript 233L · 7.6 KB
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│ │ │ └─ 📜 skills.test.ts TypeScript 213L · 7.6 KB
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│ │ │ ├─ ▾ 📁 evaluation
│ │ │ │ ├─ 📝 direct-score.md Markdown 159L · 4.3 KB
│ │ │ │ ├─ 📝 generate-rubric.md Markdown 189L · 5.3 KB
│ │ │ │ └─ 📝 pairwise-compare.md Markdown 182L · 4.7 KB
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│ │ │ │ └─ 📝 delegate-to-agent.md Markdown 171L · 4.5 KB
│ │ │ ├─ ▾ 📁 research
│ │ │ │ ├─ 📝 read-url.md Markdown 162L · 4.1 KB
│ │ │ │ └─ 📝 web-search.md Markdown 128L · 3.3 KB
│ │ │ └─ 📝 index.md Markdown 141L · 3.6 KB
│ │ ├─ 📝 CONTRIBUTING.md Markdown 78L · 2.0 KB
│ │ ├─ 📜 eslint.config.js JavaScript 18L · 483 B
│ │ ├─ 📋 package.json JSON 79L · 2.1 KB
│ │ ├─ 📝 README.md Markdown 659L · 24.0 KB
│ │ ├─ 📋 tsconfig.json JSON 26L · 681 B
│ │ └─ 📜 vitest.config.ts TypeScript 20L · 561 B
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│ ├─ 📝 PRD.md Markdown 644L · 24.2 KB
│ ├─ 📝 README.md Markdown 181L · 10.0 KB
│ └─ 📝 SKILLS-MAPPING.md Markdown 187L · 10.1 KB
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├─ ▾ 📁 skills
│ ├─ ▾ 📁 advanced-evaluation
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│ │ │ ├─ 📝 bias-mitigation.md Markdown 288L · 9.1 KB
│ │ │ ├─ 📝 implementation-patterns.md Markdown 315L · 9.2 KB
│ │ │ └─ 📝 metrics-guide.md Markdown 331L · 9.4 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 evaluation_example.py Python 337L · 11.6 KB
│ │ └─ 📝 SKILL.md Markdown 454L · 17.6 KB
│ ├─ ▾ 📁 bdi-mental-states
│ │ ├─ ▾ 📁 references
│ │ │ ├─ 📝 bdi-ontology-core.md Markdown 207L · 6.5 KB
│ │ │ ├─ 📝 framework-integration.md Markdown 582L · 21.1 KB
│ │ │ ├─ 📝 rdf-examples.md Markdown 315L · 11.2 KB
│ │ │ └─ 📝 sparql-competency.md Markdown 420L · 9.6 KB
│ │ └─ 📝 SKILL.md Markdown 295L · 10.1 KB
│ ├─ ▾ 📁 context-compression
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 evaluation-framework.md Markdown 213L · 8.5 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 compression_evaluator.py Python 658L · 21.9 KB
│ │ └─ 📝 SKILL.md Markdown 265L · 12.3 KB
│ ├─ ▾ 📁 context-degradation
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 patterns.md Markdown 314L · 10.0 KB
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│ │ │ └─ 🐍 degradation_detector.py Python 419L · 14.7 KB
│ │ └─ 📝 SKILL.md Markdown 231L · 15.4 KB
│ ├─ ▾ 📁 context-fundamentals
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│ │ │ └─ 📝 context-components.md Markdown 283L · 8.1 KB
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│ │ │ └─ 🐍 context_manager.py Python 370L · 11.5 KB
│ │ └─ 📝 SKILL.md Markdown 185L · 12.0 KB
│ ├─ ▾ 📁 context-optimization
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 optimization_techniques.md Markdown 272L · 9.4 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 compaction.py Python 379L · 12.4 KB
│ │ └─ 📝 SKILL.md Markdown 179L · 8.4 KB
│ ├─ ▾ 📁 evaluation
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 metrics.md Markdown 339L · 10.2 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 evaluator.py Python 474L · 16.1 KB
│ │ └─ 📝 SKILL.md Markdown 231L · 10.5 KB
│ ├─ ▾ 📁 filesystem-context
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 implementation-patterns.md Markdown 549L · 18.3 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 filesystem_context.py Python 353L · 12.3 KB
│ │ └─ 📝 SKILL.md Markdown 321L · 13.6 KB
│ ├─ ▾ 📁 hosted-agents
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 infrastructure-patterns.md Markdown 700L · 20.7 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 sandbox_manager.py Python 495L · 15.9 KB
│ │ └─ 📝 SKILL.md Markdown 279L · 11.8 KB
│ ├─ ▾ 📁 memory-systems
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 implementation.md Markdown 551L · 18.3 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 memory_store.py Python 414L · 14.8 KB
│ │ └─ 📝 SKILL.md Markdown 211L · 12.3 KB
│ ├─ ▾ 📁 multi-agent-patterns
│ │ ├─ ▾ 📁 references
│ │ │ └─ 📝 frameworks.md Markdown 433L · 12.6 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 coordination.py Python 439L · 15.0 KB
│ │ └─ 📝 SKILL.md Markdown 255L · 14.6 KB
│ ├─ ▾ 📁 project-development
│ │ ├─ ▾ 📁 references
│ │ │ ├─ 📝 case-studies.md Markdown 388L · 14.9 KB
│ │ │ └─ 📝 pipeline-patterns.md Markdown 610L · 17.1 KB
│ │ ├─ ▾ 📁 scripts
│ │ │ └─ 🐍 pipeline_template.py Python 677L · 20.4 KB
│ │ └─ 📝 SKILL.md Markdown 342L · 14.8 KB
│ └─ ▾ 📁 tool-design
│ ├─ ▾ 📁 references
│ │ ├─ 📝 architectural_reduction.md Markdown 210L · 8.2 KB
│ │ └─ 📝 best_practices.md Markdown 176L · 10.4 KB
│ ├─ ▾ 📁 scripts
│ │ └─ 🐍 description_generator.py Python 237L · 7.1 KB
│ └─ 📝 SKILL.md Markdown 311L · 15.4 KB
├─ ▾ 📁 template
│ └─ 📝 SKILL.md Markdown 98L · 3.7 KB
├─ 📝 CONTRIBUTING.md Markdown 78L · 2.5 KB
├─ 📝 README.md Markdown 236L · 13.1 KB
└─ 📝 SKILL.md Markdown 104L · 7.7 KB

Security Positives

✓ All Python scripts are pseudocode or educational utilities with no side effects
✓ No subprocess, shell execution, or command injection vectors found
✓ No credential harvesting, API key theft, or token exfiltration
✓ No base64-encoded payloads or obfuscated code
✓ No hidden HTML comments with malicious payloads
✓ No supply chain risks — no external dependencies in skill scripts
✓ No sensitive file path access (no ~/.ssh, ~/.aws, .env access)
✓ The eval() in 03_full_optimization.py is sandboxed with __builtins__={} and restricted to safe math functions only
✓ All network references are sample data strings or pseudocode templates, not live connections
✓ install.sh only performs read-based directory copy operations