Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add catlog22/Claude-Code-Workflow --skill skill-tuninggit clone --depth 1 https://github.com/catlog22/Claude-Code-WorkflowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/catlog22/claude-code-workflow/skill-tuning)<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/skill-tuning"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/skill-tuning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/skill-tuning"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/skill-tuning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.01633 |
| Opus 5.5 | $0.00026 | $0.00653 |
| Sonnet 5.5 | $0.00013 | $0.00327 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
skill-tuning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Tuning
Autonomous diagnosis and optimization for skill execution issues.
Architecture
┌─────────────────────────────────────────────────────┐
│ Phase 0: Read Specs (mandatory) │
│ → problem-taxonomy.md, tuning-strategies.md │
└─────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────┐
│ Orchestrator (state-driven) │
│ Read state → Select action → Execute → Update → ✓ │
└─────────────────────────────────────────────────────┘
↓ ↓
┌──────────────────────┐ ┌──────────────────┐
│ Diagnosis Phase │ │ Gemini CLI │
│ • Context │ │ Deep analysis │
│ • Memory │ │ (on-demand) │
│ • DataFlow │ │ │
│ • Agent │ │ Complex issues │
│ • Docs │ │ Architecture │
│ • Token Usage │ │ Performance │
└──────────────────────┘ └──────────────────┘
↓
┌───────────────────┐
│ Fix & Verify │
│ Apply → Re-test │
└───────────────────┘
Core Issues Detected
| Priority | Problem | Root Cause | Fix Strategy |
|---|---|---|---|
| P0 | Authoring Violation | Intermediate files, state bloat, file relay | eliminate_intermediate, minimize_state |
| P1 | Data Flow Disruption | Scattered state, inconsistent formats | state_centralization, schema_enforcement |
| P2 | Agent Coordination | Fragile chains, no error handling | error_wrapping, result_validation |
| P3 | Context Explosion | Unbounded history, full content passing | sliding_window, path_reference |
| P4 | Long-tail Forgetting | Early constraint loss | constraint_injection, checkpoint_restore |
| P5 | Token Consumption | Verbose prompts, state bloat | prompt_compression, lazy_loading |
Problem Categories (Detailed Specs)
See specs/problem-taxonomy.md for:
- Detection patterns (regex/checks)
- Severity calculations
- Impact assessments
What ships with it
25 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- phases/actions/action-abort.md 4.1 KB
- phases/actions/action-analyze-requirements.md 11 KB
- phases/actions/action-apply-fix.md 5.6 KB
- phases/actions/action-complete.md 5.3 KB
- phases/actions/action-diagnose-agent.md 10 KB
- phases/actions/action-diagnose-context.md 7.4 KB
- phases/actions/action-diagnose-dataflow.md 9.9 KB
- phases/actions/action-diagnose-docs.md 8.4 KB
- phases/actions/action-diagnose-memory.md 9.1 KB
- phases/actions/action-diagnose-token-consumption.md 6.1 KB
- phases/actions/action-gemini-analysis.md 9.0 KB
- phases/actions/action-generate-report.md 7.0 KB
- phases/actions/action-init.md 4.5 KB
- phases/actions/action-propose-fixes.md 11 KB
- phases/actions/action-verify.md 6.7 KB
- phases/orchestrator.md 5.7 KB
- phases/state-schema.md 11 KB
- specs/category-mappings.json 11 KB
- specs/dimension-mapping.md 7.8 KB
- specs/problem-taxonomy.md 7.8 KB
- specs/quality-gates.md 6.7 KB
- specs/skill-authoring-principles.md 4.3 KB
- specs/tuning-strategies.md 11 KB
- templates/diagnosis-report.md 2.9 KB
- templates/fix-proposal.md 3.3 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 168 lines · 66 tokens per session scan A 94ad5308da82
skill-tuning is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,124 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 1,633 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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