ai-agents-failure-archaeology

ai-agents-failure-archaeology is a Decision records & design docs skill for AI agents, published by rjmurillo in the ai-agents repository on GitHub. Skillspace rates ai-agents-failure-archaeology A (94/100) and it passed the safety scan; the rating is based on static analysis only.

The chronicle of this repo's settled battles. Maps each major incident to symptom, root cause, evidence path, and the artifact that fixed it, so nobody re-fights a decided question. Use when you say `has this failed before`, `why does this rule exist`, `failure archaeology`, `what happened with issue 2205`. Do NOT use for triaging a live failure (use `ai-agents-debugging-playbook`) or for extracting learnings from the current session (use `retrospective`).

Grade
A
Quality
94 / 100
Safety
Passed
GitHub stars
38

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded A with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Chronicles this repo's own incidents, issues, and paths

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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