research-fuzzer
research-fuzzer is a Structured reasoning & decision frameworks skill for AI agents, published by ARA-Labs in the Agent-Native-Research-Artifact repository on GitHub. Skillspace rates research-fuzzer D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Treat an open-ended investigation the way a fuzzer treats a program. After every action, reflect on two things a fuzzer always knows and an agent never does: did anything NEW happen, and where have I NOT been yet. Keeps an append-only notebook of predictions and outcomes; reports what you explored, the leads you saw but never followed, unexplained results, and a going-in-circles alarm. Use for ANY investigation without a known map: research experiments, debugging, data analysis, literature or market research, evaluations. Fire it (1) when starting an investigation, (2) after every action or batch of actions that returned results, (3) before stating any conclusion. Skip it for trivial single-step tasks.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 680
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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