Files
holocron/plugins/kyberforge/skills/agent-audit/scripts
Defame1297 4a5c3c0cff feat(kyberforge): enforce the ADR-0020 context contract for skills and agents
Skill name+description pairs are preloaded into every session, costing
~6,200 tokens across 39 skills before any skill is invoked. The authoring
rules mandated that growth: skill-author:104 and description-quality.md:21
both required padding, while skill-author:102 (the deflating rule) had no
FAIL condition behind it.

Gates (blocking, no baseline file):
- description 250 chars SUGGESTION / 400 FAIL, measured on the folded
  YAML value
- body-only 600 words SUGGESTION / 900 FAIL, independent of the unchanged
  whole-file 2770-word / 500-line spec backstop
- every boundary-clause routing target must resolve to a real skill or
  agent; catches skill-improve, neuledge-context and gitea-labels
- agents take the description gates but deliberately no body gate; a test
  pins that absence

Vale: DescriptionOpener widened to ^This\b, new CompositionNote rule
banning architecture notes from descriptions. 10 hits, 0 false positives.

Kyberforge's own four skills retrofitted: descriptions 3,364 -> 938 chars
(-72%), bodies 8,306 -> 2,487 words (-70%), all via the apm-workflow
dispatch pattern. Fixes the skill-improve dangling route and the
agent-author misroute to manual review.

Also fixes a pre-existing false positive where any line-initial 'read '
was flagged as interactive input, which had already caused two scripts to
be rewritten around it.

Refs: ADR-0020
2026-08-14 21:13:13 +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.