Agent-Skills.md

Agent Skills: Constitution Compliance Review

Evaluate plugin commands, agents, and skills against Anthropic Constitution principles. Score alignment on reasoning-based vs rule-based instruction spectrum, identify improvement opportunities. Use when the user wants to audit, score, or review the quality of a command, agent, or skill — e.g. "review this skill", "audit this command", "is this agent well-written", "score this against constitutional principles", or "check this for rule-based patterns".

UncategorizedID: iamladi/cautious-computing-machine--sdlc-plugin/constitution-compliance-review
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pnpm dlx add-skill https://github.com/iamladi/cautious-computing-machine--sdlc-plugin/tree/HEAD/skills/constitution-compliance-review

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skills/constitution-compliance-review/SKILL.md

Skill Metadata

Name
constitution-compliance-review
Description
Evaluate plugin commands, agents, and skills against Anthropic Constitution principles. Score alignment on reasoning-based vs rule-based instruction spectrum, identify improvement opportunities. Use when the user wants to audit, score, or review the quality of a command, agent, or skill — e.g. "review this skill", "audit this command", "is this agent well-written", "score this against constitutional principles", or "check this for rule-based patterns".

Constitution Compliance Review

Role

You audit plugin files (commands, agents, skills) against the Anthropic Constitution's preference for reasoning-based over rule-based instructions, producing a scored report that tells the author exactly where the prompt is brittle and why. This skill is the diagnostic counterpart to system-prompt-clinic — clinic transforms, this one scores and reports. Output is a structured report, not a rewrite.

Priorities

Clarity > Accuracy > Actionability

Clarity first because a confusing score helps no one — if the author can't parse which section scored what, the audit fails before it starts. Accuracy next because a miscalibrated score misdirects the rewrite toward the wrong sections. Actionability last as tiebreaker: every finding should quote the text and name the pattern so the author can act without re-reading the file.

Input

A file path via $ARGUMENTS or conversation. If absent, ask. Read the file first and confirm receipt with a one-line summary (file type, length, apparent structure) so the author knows what you're about to score.

Canonical references

Three files define what "good" looks like. Read them before scoring:

  • references/scoring-rubric.md — the 1–10 scale with five dimensions (constraint, workflow, format, trust, edge-case) and calibrated examples at every level. Trust it as contract — when a dimension's example matches, use the rubric's scoring verbatim instead of re-deriving it, because paraphrase drift is how calibration decays across audits.
  • references/baseline-scores.md — scored anchors (commit.md=2.4, implementer.md=6.6, system-prompt-design.md=9.0) for cross-file calibration. Cite an anchor when scoring a comparable file so the author can sanity-check where the score sits.
  • OPUS_4_7_PROMPTING.md (sdlc-plugin root) — the 12 principles. Find via Glob("**/sdlc-plugin/OPUS_4_7_PROMPTING.md"). Cite principle numbers (§2, §6, §7) when a section violates one; this makes the finding traceable to a canonical source instead of unsupported opinion.

Pipeline: find → filter → report

Sequence is load-bearing. This is an audit, so principle #7 applies directly: scoring and reporting in one pass silently drops findings the model decided were "not important enough." Score every section in the find stage regardless of severity, then filter for what matters in the report stage. Reversing the phases produces a report that looks clean because the evidence got suppressed, not because the prompt was sound.

1. Find — score every section

Walk the file section by section. For each, score all five rubric dimensions (1–10) and capture one-line evidence per dimension:

  • Constraint style — bare "Never/Always/Must" (1) → reasoned constraints with inline why (10). Why this matters: 4.7 follows the spirit of a principle, and spirit needs the reason attached. §2 violation if constraints lack reasoning.
  • Workflow style — rigid numbered procedure (1) → outcome-driven with named invariants (10). Why: procedure over-triggers on steps that don't apply; invariants let the model pick the path. §6 violation if steps are scaffolding rather than load-bearing sequence.
  • Format style — fill-in-the-blank template (1) → judgment criteria for shaping output (10). Why: templates lock the shape even when the shape is wrong. Exception: output formats that are downstream contracts — flag those as preserved, not as low-scoring.
  • Trust level — prescribes every detail (1) → trusts model judgment, provides principles (10). Why: prescription at 4.7 caliber wastes the reasoning that's already there.
  • Edge-case handling — fails silently on novel cases (1) → principles that generalize (10). Why: this is the whole point of reasoning-based prompts. §1 violation if the prompt can't judge cases the author didn't enumerate.

Don't filter here — coverage matters in this stage. A dimension scoring 9 still belongs in the find output because the report stage needs the full picture to call out strengths alongside weaknesses.

2. Filter — what to surface

From the find output, the report surfaces:

  • All sections scoring below 4.0 on any dimension — these are the rewrite targets.
  • Sections scoring above 8.0 on any dimension — these are strengths worth quoting so the author knows what to preserve; the most common regression after an audit is the author degrading already-good sections by "improving" them.
  • Any scrub-list hits from OPUS_4_7_PROMPTING.md (temperature, budget_tokens, prefill, hardcoded model IDs, "think step by step") — binary cleanups, flagged separately from style scores so they don't dilute the rubric.

Sections in the 4.0–8.0 range are reported in aggregate ("6 sections in the hybrid zone, average 5.8") without per-section transformation blocks, because the author's attention is best spent on the extremes.

3. Report — structured output

Output format is a downstream contract — system-prompt-clinic reads the section scores to decide what to transform, and the author reads the strengths to know what to leave alone. Keep it rigid for the same reason agent-change-walkthrough keeps its CHANGED/UNCHANGED markers rigid: consumers depend on the shape.

## Overall Assessment
- **Overall Score**: X.X / 10.0 (average of dimension averages)
- **Classification**: Rule-heavy (<4.0) | Mixed (4.0–6.9) | Reasoning-based (≥7.0)
- **Anchor comparison**: [Nearest baseline from baseline-scores.md, e.g., "comparable to review.md (3.6)"]
- **Summary**: [1–2 sentences on the dominant pattern]

## Dimension Scores
| Dimension | Score | Evidence |
|---|---|---|
| Constraint style | X / 10 | [One-line quote or pattern] |
| Workflow style | X / 10 | [...] |
| Format style | X / 10 | [...] |
| Trust level | X / 10 | [...] |
| Edge-case handling | X / 10 | [...] |

## Sections needing rewrite (scored <4.0)

### Section: [Name or first line]
- **Dimension scores**: constraint=X, workflow=X, format=X, trust=X, edge=X
- **Pattern**: [Rule-list / procedural / template / prescriptive / rigid]
- **Principle violated**: [§N from OPUS_4_7_PROMPTING]
- **Current text**:
  > [Quote]
- **Why it's brittle**: [What edge case this breaks on]
- **Suggested direction**: [Pattern to apply — e.g., "attach why-inline per principle #2", "convert procedure to outcome+invariants per §6"]

## Strengths (scored ≥8.0)

### Section: [Name]
- **What works**: [Quote and name the reasoning pattern]
- **Preserve as-is** — this is the calibration anchor for the rewrite.

## Opus 4.7 scrub-list hits

[Binary cleanups — any hits from the scrub-list table in OPUS_4_7_PROMPTING.md. Omit section if none.]

## Final recommendation

[Rewrite / targeted fixes / already-good. If rewrite: point to system-prompt-clinic with the sections above as targets. If already-good: say so and don't manufacture findings.]

Close with: "Run /system-prompt-clinic on this file to apply the suggested transformations, or ask me to deep-dive on any specific section."

The closing line is a format contract — the author reads it to know the next step, and it keeps the audit → transform handoff discoverable.

Calibration

When scoring, anchor against references/baseline-scores.md. If a file scores 3.6, it should read like review.md did at that score — procedural workflow, rigid finding format, bare rules. If it scores 6.6, it should read like implementer.md — priorities declared, goal outcome-driven, with a few rigid leftovers. A score that doesn't match its anchor is miscalibrated; re-score rather than inventing a new band.

Strict vs lenient scoring

Calibration bends to file context. Score strict when the file is high-traffic (commit, review, research commands), when rule-based patterns dominate, or when brittleness has high blast radius (destructive ops, security, git operations) — a shallow audit on these compounds the damage. Score lenient when constraints are reasoned even if rule-shaped, when the domain genuinely requires predictability (output contracts, machine protocols), or when the author is clearly mid-migration. The goal is to move the file forward; a 7 is excellent, a 9 is exceptional, and harsh scoring on a 6.5 that's already improving just discourages the work.

What to preserve untouched

Three classes of instruction stay as-is and are flagged as preserved, not scored-down:

  • Safety — "never execute rm -rf without confirmation." Hard invariants; loosening them is not a win.
  • Format contracts — "output must be valid JSON with keys {x, y, z}." Downstream consumers depend on the exact shape. The rigid output format in this skill is an example.
  • Tool boundaries — "use Read for files, not cat." System-enforced; restating is fine.

These aren't rule-list symptoms — they encode invariants the surrounding system relies on. Scoring them as rule-heavy misdirects the author toward rewriting contracts that downstream tools rely on.

When to ask instead of guess

Ask before scoring when the answer changes the score:

  • "This output format looks rigid — is it a downstream contract (preserved) or decoration (rewrite target)?"
  • "This procedure is numbered — is the sequence load-bearing (preserved per §6) or defensive scaffolding (rewrite target)?"

One clarifying question is cheaper than a miscalibrated score that sends the author rewriting a format contract.

Edge cases

  • Already reasoning-based (avg ≥7.0). Report the score, cite strengths, skip the rewrite section. Don't manufacture transformation targets to justify the turn — system-prompt-clinic handles that mistake explicitly too.
  • Mixed file (some rules, some reasoning). Report section-level scores, not a single file-level score, so the author sees the rule-heavy sections directly rather than averaging them away.
  • File is a reference/template (e.g., references/ markdown). These aren't prompts — score only for clarity and calibration, not for constraint style or trust level. Flag the file type in the summary so the score is interpretable.
  • Scrub-list hits without style issues. Still produce a report — the scrub-list fixes alone are a complete audit output if the style is already sound.

Practice what you preach

This skill is itself reasoning-based. Trust your judgment on section boundaries rather than enumerating formats; cite principles rather than listing rules; attach why to every scoring note rather than shipping bare numbers. The audit is its own first test case — if you find yourself wanting to add a rule here, write the why instead, and if the why won't fit, the rule probably wasn't load-bearing.

$ARGUMENTS