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
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 —
0for success, non-zero for failure. Use distinct codes for different failure types; document them in--help. - Dry-run support — add
--dry-runfor 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.