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holocron/plugins/kyberforge/skills/skill-audit/references/body-discipline.md
Defame1297 83277f4e5c feat(kyberforge): ground skill-audit qualitative rubric in agentskillsio spec
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>
2026-06-22 19:53:45 +00:00

83 lines
3.1 KiB
Markdown

# Body Discipline Reference
Source: agentskills.io — skill-authoring
## The core test
For every sentence in the body, ask: **"Would the agent get this wrong without this instruction?"**
If no — cut it. The agent already knows it from general training. Adding it wastes tokens and dilutes the signal of what matters.
## What belongs in the body
Include content the agent lacks:
- Project-specific conventions and domain procedures it cannot infer
- Non-obvious edge cases and environment-specific gotchas
- The specific tools or sequences to use (not the full range of options)
- One default per decision point with one escape hatch
Do not include:
- Concepts the agent already knows (what JSON is, how HTTP works, what a CSV is)
- Exhaustive option lists — pick a default; the agent doesn't benefit from choosing
- Steps the agent handles independently — over-specifying leads to unproductive paths
- Restatements of the description — it's already in context
## Calibrating control
**Be prescriptive** when operations are fragile, consistency matters, or a specific sequence must be followed:
```markdown
Run exactly:
\`\`\`bash
python scripts/migrate.py --verify --backup
\`\`\`
Do not modify the command or add additional flags.
```
**Give freedom** when multiple approaches are valid. Explaining *why* outperforms rigid directives — agents make better decisions when they understand the purpose.
## Defaults not menus
Never present a list of equivalent options — pick one and mention the alternative briefly:
```markdown
# Too many options
Use pypdf, pdfplumber, PyMuPDF, or pdf2image...
# Default with escape hatch
Use pdfplumber for text extraction. For scanned PDFs requiring OCR, use pdf2image instead.
```
## Gotchas sections
Highest value content — environment-specific facts that defy reasonable assumptions. Place near the top of the body so the agent reads them before encountering the situation.
```markdown
## Gotchas
- The `users` table uses soft deletes. Always include `WHERE deleted_at IS NULL`.
- User ID is `user_id` in the database, `uid` in auth, `accountId` in billing. Same value.
```
Each entry must be a specific, surprising fact — not a general tip or reminder.
## Progressive disclosure
Keep `SKILL.md` under 500 lines. When more content is needed, move it to `references/` and load conditionally:
```markdown
If the API returns a non-200 status, read `references/api-errors.md`.
```
"If X, read Y" is more useful than "see references/ for details." The agent loads on demand rather than up front.
## Auditing guidance
Flag as FAIL if:
- A sentence answers "no" to the core test (would agent get this wrong without it?) — it is padding
- Decision points present a menu of options with no default
- Instructions repeat content already in the description
- Prescriptive sequences are used where flexibility is fine, or vice versa
Flag as SUGGESTION if:
- A rationale is missing from an include/exclude rule (present but unexplained)
- Gotchas are correct but placed late in the body rather than near the top
- A conditional reference trigger is vague ("see references/") rather than specific ("If X, read Y")