.claude/skills/model-upgrade-audit/SKILL.md
Audit workspace components for prompt debt when a new model is available. Detect workarounds, propose simplifications, compare with evals.
npx skillsauth add gonzalezpazmonica/pm-workspace model-upgrade-auditInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Analyzes agents, skills, and prompts for workarounds that newer models handle natively. Proposes token-saving simplifications backed by evidence.
| Param | Required | Default | Description |
|---|---|---|---|
| scope | No | full | full, agents, skills, rules, or comma-separated list |
| model_new | No | (auto-detect) | Model to audit against |
| changed_since | No | - | Only audit components changed since Era N |
| Pattern | Signal | Severity | |---|---|---| | Emphatic repetition | Same instruction >= 2x | Medium | | Negative overload | >3 "don't/never/avoid" per prompt | Low | | Compensatory few-shot | Basic capability examples | Medium | | Defensive parsing | Regex fallback for bad output | High | | Coded retries | Retry loops for model failure | High | | Bloated prompt | >2000 tokens procedural | Medium |
1. Inventory: glob agents/*.md + skills/*/SKILL.md + rules/domain/*.md
2. For each component:
a. Count tokens (wc -w * 1.3)
b. Scan for workaround patterns (regex)
c. Classify: simplifiable | no_change | review_needed
3. For simplifiable components:
a. Propose simplified version
b. Estimate token reduction
4. Generate YAML report -> output/model-audit/
5. Summary in chat (output-first pattern)
Report: output/model-audit/{date}-audit.yaml
Summary:
Model Audit: {model_old} -> {model_new}
Components: {N} audited | {N} simplifiable | {N} no change
Token savings: ~{N} tokens/session ({pct}% reduction)
Risk: {N} low | {N} medium | {N} high
APPLY (risk: low) -> auto-apply with backupREVIEW (risk: medium) -> Draft PR for human reviewSKIP (risk: high) -> log for manual review/agent-efficiency for token trackingtesting
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