Diagnose ambiguous failures before editing. Use for unknown causes, intermittent behavior, performance regressions, or investigations needing evidence-ranked hypotheses.
Use this Skill: https://skilld.dev/gh/juliusbrussee/caveman/investigate-first Nothing lands on disk. Nothing to clean up.
Edit a local copy. It keeps the author and licence.
≈47 tokens for metadata: the name and description. ≈118 when used: this file. ≈51 more on demand in 1 file.
Before choosing a Skill, your Agent reads its name and description. All available Skills share that space.
In our Claude Code example, all Skill names and descriptions share 8,000 characters. This Skill uses ≈189 characters, or 2.4%.
The 1% threshold is a size suggestion. Longer descriptions can still fit.
Your model, settings, and other Skills decide how much text your Agent can read.
The example uses a 200k-token context and default Claude Code settings. The count includes the name, description, separators, and when_to_use when present. Codex also counts local file paths.
Skit's source and limits: Codex 0.160.1, Claude Code 2.1.292.
Gather evidence before changing product code.
Report cause and proof. Make no fix unless task authorizes implementation.
Source: SKILL.md on GitHub
No rule matched.
skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.
skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.
This skill provides instructional guidelines for diagnosing software failures. It contains no executable code, external dependencies, or network operations. No security issues were detected.
No alerts
Risk: LOW · No issues
Signed by skilld at bad48a0. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub last week.