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
Records the upstream agentskills.io sources that informed skill-audit,
continuing the research → docs → skill provenance chain.
- New references/sources.md with 7 extracted sources attributed to skill files;
agentskills-llms-txt demoted to discovery-only comment per skill-author precedent
- source_keys frontmatter added to SKILL.md (5 slugs), references/body-discipline.md
(agentskills-spec, agentskills-best-practices), and references/description-quality.md
(agentskills-spec, agentskills-optimizing-descriptions)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add references/description-quality.md and references/body-discipline.md to
skill-audit — condensed, rubric-focused extracts from the agentskills.io
specification docs. Both files are loaded conditionally via progressive
disclosure triggers added to Step 3 (Description and Body discipline
dimensions), so the agent consults the spec source when a finding is
borderline rather than relying solely on inline heuristics developed
during the skill-write authoring cycle.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
