The ADR-0020 body trim took `skill-audit` from 2,623 body words to a dispatch shape, and two things went out with it that were not padding. The manual structural fallback was one. Its replacement was a single sentence telling the auditor to report an INFO when `validate.sh` cannot run — so with no `python3` or no PyYAML, `skill-audit` reported the gap honestly and then audited nothing structural at all. Every ADR-0020 measurement, the whole-file ceilings, the name-to-directory match, the `references/` pointer check and the script hygiene checks silently left the audit. A skill's whole Structure dimension hanging on one optional interpreter is the same vacuous-pass shape the gate scripts were just fixed for, one layer up. The `E100 Runtime error ... does not exist` diagnostic was the other. That exit code means an explicit relative `--config` was passed to `vale-wrap.sh` while vale itself was installed and working; without the note, Step 1's fallback reads exit 2 as "vale unavailable" and downgrades the description, body-discipline and patterns dimensions to full LLM judgment for a config error it could have fixed. That misreading is already recorded in CONTEXT.md as the reason both audit skills stopped passing `--config` at all. Both are restored in `references/validation-scripts.md`, loaded only when a Step 1 script fails — so the body pays nothing for them on a clean run, which is what the dispatch pattern is for. The file also carries the by-hand boundary-target procedure and the three ways to misread the result, including that `INFO ... DID NOT RUN` is not a pass. `references/file-structure.md` gains the one sanctioned spelling for a cross-skill reference. The possessive form (``skill-audit's references/validation-scripts.md``) is the only spelling both rules accept: a full repo path is what that section already forbids, and a bare `references/<file>.md` is now a hard ERROR from the ADR-0020 pointer check, which requires the file to exist in the skill's *own* directory. Without the rule the two constraints look mutually exclusive. Refs: ADR-0020
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3.4 KiB
Sources
agentskills-home
- URL: https://agentskills.io/home.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: Agent Skills overview — what it is, why it exists, progressive disclosure model, ecosystem of 35+ implementing tools
- Contributing files: SKILL.md
- Status:
extracted
agentskills-spec
- URL: https://agentskills.io/specification.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: Complete SKILL.md format specification — frontmatter fields, constraints, body content, optional directories, progressive disclosure levels, file references, validation
- Contributing files: SKILL.md, references/body-discipline.md, references/description-quality.md, references/patterns.md, references/file-structure.md, references/formatting-and-scripts.md, references/validation-scripts.md
- Status:
extracted
agentskills-best-practices
- URL: https://agentskills.io/skill-creation/best-practices.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: Best practices for skill creators — starting from real expertise, spending context wisely, calibrating control, instruction patterns (gotchas, templates, checklists, validation loops)
- Contributing files: SKILL.md, references/body-discipline.md, references/patterns.md
- Status:
extracted
agentskills-optimizing-descriptions
- URL: https://agentskills.io/skill-creation/optimizing-descriptions.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: How to systematically test and improve skill descriptions for triggering accuracy — eval queries, trigger rate testing, train/validation splits, optimization loop
- Contributing files: SKILL.md, references/description-quality.md
- Status:
extracted
agentskills-evaluating-skills
- URL: https://agentskills.io/skill-creation/evaluating-skills.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: Eval-driven skill quality improvement — test case design, workspace structure, assertion writing, grading, benchmarking, human review, iteration loop
- Contributing files: (none — eval workflow not directly informing audit dimensions)
- Status:
extracted
agentskills-using-scripts
- URL: https://agentskills.io/skill-creation/using-scripts.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: Using scripts in skills — one-off commands, self-contained scripts with inline dependencies, designing scripts for agentic use (no interactive prompts, --help, structured output, idempotency)
- Contributing files: SKILL.md, references/formatting-and-scripts.md, references/validation-scripts.md
- Status:
extracted
agentskills-quickstart
- URL: https://agentskills.io/skill-creation/quickstart.md
- Research doc: plugins/kyberforge/docs/research/docs/agentskillsio/sources.md
- Description: Step-by-step guide to creating a first skill (roll-dice example), how discovery/activation/execution work in practice
- Contributing files: (none — creation guide not directly informing audit criteria)
- Status:
extracted