Files
holocron/plugins/kyberforge/skills/agent-audit/scripts
Defame1297 8463c87dfc feat(kyberforge): improve agent-audit skill with platform-accurate checks and description quality reference
- Fix validate.sh: remove incorrect name==stem check for CC files (CC docs say filename need not match name field); keep check for Copilot CLI only
- Fix validate.sh: plugin scope detection now checks both plugin.json and .claude-plugin/plugin.json
- Fix validate.sh: Copilot cloud/IDE agents (.github/copilot/agents/) have name as optional; path-based guard added
- Add validate.sh checks: Copilot body length >30,000 chars (SUGGESTION), Copilot-only fields in CC files (FAIL), subagent-unavailable tools in tools field (SUGGESTION)
- Add references/description-quality.md as conditional escape hatch for borderline description findings
- SKILL.md: name five audit dimensions in description; sharpen indirect-trigger phrasing
- SKILL.md: label pair-mandate as kyberforge project convention, not platform requirement
- SKILL.md: scope redundant name-match/body-empty checks to manual fallback only
- SKILL.md: add conditional reference to description-quality.md; update provider-safety description for new check categories; fix plugin scope gotcha to mention .claude-plugin/plugin.json
- SKILL.md: add INFO tier to result block template
- Add source_keys frontmatter to references/README.md; update sources.md to add description-quality.md to contributing files

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0147vXtL5sP6vorDdqXGJJU9
2026-07-04 11:10:32 +00:00
..

scripts/

Executable code bundled with this skill. Agents run scripts in this directory to perform repeatable operations rather than reinventing the logic each run.

When to add a script

Add a script when agents independently reinvent the same logic across runs — building the same parser, chart, or validation routine from scratch each time. Bundle it here once, tested and reliable.

Script requirements (agentskills.io)

Scripts must be designed for non-interactive, agentic execution:

  • No interactive prompts — agents run in non-interactive shells. Accept all input via flags, env vars, or stdin. A script that blocks on TTY input hangs indefinitely.
  • Expose --help — this is how agents learn your script's interface. Keep the output concise; it enters the agent's context window.
  • Structured output — write data (JSON, CSV, TSV) to stdout. Write progress, warnings, and diagnostics to stderr.
  • Idempotent — prefer "create if not exists" over "create and fail on duplicate". Agents may retry on failure.
  • Meaningful exit codes — 0 for success, non-zero for failure. Use distinct codes for different failure types; document them in --help.
  • Dry-run support — add --dry-run for destructive operations.

Self-contained scripts

Bundle dependencies inline so the agent can run the script with a single command.

Python (PEP 723 + uv):

# /// script
# dependencies = ["requests>=2.31,<3"]
# requires-python = ">=3.11"
# ///
import requests
uv run scripts/my-script.py

If no scripts are needed

Delete this README and the scripts/ directory entirely.