skill-iter-tune

skill-iter-tune is a skill for Claude Code, Codex from catlog22/Claude-Code-Workflow. It costs 67 tokens per session (3,557 once invoked), scanned A, original, MIT.

Iterative skill tuning via execute-evaluate-improve feedback loop. Uses ccw cli Claude to execute skill, Gemini to evaluate quality, and Agent to apply improvements. Iterates until quality threshold or max iterations. Triggers on "skill iter tune", "iterative skill tuning", "tune skill".

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/catlog22/claude-code-workflow/skill-iter-tune
Any agent
npx skills add catlog22/Claude-Code-Workflow --skill skill-iter-tune
Clone the repo
git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for skill-iter-tune

README.md
[![agentmods](https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/skill-iter-tune.svg)](https://agentmods.dev/skills/catlog22/claude-code-workflow/skill-iter-tune)
Your own site
<a href="https://agentmods.dev/skills/catlog22/claude-code-workflow/skill-iter-tune"><img src="https://agentmods.dev/badge/skills/catlog22/claude-code-workflow/skill-iter-tune.svg" alt="Measured on agentmods" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,557 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00067 $0.03557
Opus 5 $0.00034 $0.01778
Sonnet 5 $0.00013 $0.00711
Haiku 4.5 $0.00007 $0.00356

Measured today against content hash e8e9f4c7d57c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-iter-tune 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 today.

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.

.claude/skills/skill-iter-tune/SKILL.md · 383 lines

How it starts

The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Iter Tune

Iterative skill refinement through execute-evaluate-improve feedback loops. Each iteration runs the skill via Claude, evaluates output via Gemini, and applies improvements via Agent.

Architecture Overview

┌──────────────────────────────────────────────────────────────────────────┐
│  Skill Iter Tune Orchestrator (SKILL.md)                                 │
│  → Parse input → Setup workspace → Iteration Loop → Final Report         │
└────────────────────────────┬─────────────────────────────────────────────┘
                             │
         ┌───────────────────┼───────────────────────────────────┐
         ↓                   ↓                                   ↓
    ┌──────────┐      ┌─────────────────────────────┐     ┌──────────┐
    │ Phase 1  │      │  Iteration Loop (2→3→4)     │     │ Phase 5  │
    │ Setup    │      │  ┌─────┐  ┌─────┐  ┌─────┐ │     │ Report   │
    │          │─────→│  │ P2  │→ │ P3  │→ │ P4  │ │────→│          │
    │ Backup + │      │  │Exec │  │Eval │  │Impr │ │     │ History  │
    │ Init     │      │  └─────┘  └─────┘  └─────┘ │     │ Summary  │
    └──────────┘      │       ↑               │     │     └──────────┘
                      │       └───────────────┘     │
                      │    (if score < threshold    │
                      │     AND iter < max)         │
                      └─────────────────────────────┘

Chain Mode Extension

Chain Mode (execution_mode === "chain"):

Phase 2 runs per-skill in chain_order:
  Skill A → ccw cli → artifacts/skill-A/
       ↓ (artifacts as input)
  Skill B → ccw cli → artifacts/skill-B/
       ↓ (artifacts as input)
  Skill C → ccw cli → artifacts/skill-C/

Phase 3 evaluates entire chain output + per-skill scores
Phase 4 improves weakest skill(s) in chain

Key Design Principles

  1. Iteration Loop: Phases 2-3-4 repeat until quality threshold, max iterations, or convergence
  2. Two-Tool Pipeline: Claude (write/execute) + Gemini (analyze/evaluate) = complementary perspectives
  3. Pure Orchestrator: SKILL.md coordinates only — execution detail lives in phase files
  4. Progressive Phase Loading: Phase docs read only when that phase executes
  5. Skill Versioning: Each iteration snapshots skill state before execution
  6. Convergence Detection: Stop early if score stalls (no improvement in 2 consecutive iterations)

Read the full file on GitHub · 383 lines

Files

What ships with it

8 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.

Changes

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.

  1. today First seen · 383 lines · 67 tokens per session scan A e8e9f4c7d57c

Subscribe to this mod's changes

skill-iter-tune is a skill published in the GitHub repository catlog22/Claude-Code-Workflow (2,133 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 3,557 once invoked, about $0.0003 per session on Opus 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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