iterative-refinement

iterative-refinement is a skill for Claude Code, Codex from d-o-hub/github-template-ai-agents. It costs 71 tokens per session (1,561 once invoked), scanned A, original, MIT.

A workflow for repeatedly improving work by taking an action, checking the result, and deciding whether another round is needed. It applies to tasks such as fixing tests, improving code quality, or measuring performance.

In plain words
What is it for?
Use it for test-and-fix cycles, optimization, code reviews, and other tasks that require repeated improvement and validation.
Why use it?
It prevents stopping after an unverified change and provides a structured way to work toward defined quality criteria.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it for test-and-fix cycles, optimization, code reviews, and other tasks that require repeated improvement and validation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d-o-hub/github-template-ai-agents/iterative-refinement
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.

Any agent
npx skills add d-o-hub/github-template-ai-agents --skill iterative-refinement
Clone the repo
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agents

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 iterative-refinement

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/iterative-refinement/github.svg)](https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/iterative-refinement)
Your own site
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/iterative-refinement"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/iterative-refinement/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.

agentmods 80×15 button for iterative-refinement

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-o-hub/github-template-ai-agents/iterative-refinement"><img src="https://agentmods.dev/badge/skills/d-o-hub/github-template-ai-agents/iterative-refinement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,561 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 5.1 $0.00071 $0.01561
Opus 5.5 $0.00028 $0.00624
Sonnet 5.5 $0.00014 $0.00312
Haiku 4.5 $0.00007 $0.00156

Measured 1mo ago against content hash a932d8e843f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

iterative-refinement 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.

.agents/skills/iterative-refinement/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Iterative Refinement

Execute workflows iteratively with systematic validation, progress tracking, and intelligent termination.

When to Use

Use for tasks requiring iterative refinement:

  • Test-fix-validate cycles: Fix failures → retest → repeat until passing
  • Code quality improvement: Review → fix → review until standards met
  • Performance optimization: Profile → optimize → measure until targets achieved
  • Progressive enhancement: Iterative improvements until diminishing returns

Don't use for single-pass tasks, purely parallel work, or simple linear workflows.

Pre-Usage Research (Optional)

Before starting iterations, consider researching current best practices, known issues, optimal configurations, or recent alternatives for your validation tools.

Research first when: unfamiliar tools, new tech stack, complex quality criteria, or high-stakes optimization.

Core Loop Pattern

Every iteration follows:

  1. Execute action (fix, optimize, improve)
  2. Validate result (test, measure, check)
  3. Assess progress (compare to criteria)
  4. Decide (continue or stop)

Instructions

Step 1: Define Configuration

Establish before starting:

Success Criteria (specific and measurable):

  • Criterion 1: [Example: "All 50 tests passing"]
  • Criterion 2: [Example: "Zero linter warnings"]
  • Criterion 3: [Example: "Response time < 100ms"]

Loop Limits:

  • Max iterations: 5-15 (justify if >20)
  • Min iterations: (optional)

Termination Mode:

  • Fixed: Run exactly N iterations
  • Criteria: Stop when success criteria met
  • Convergence: Stop when improvements < threshold (e.g., <10% over 3 iterations)
  • Hybrid: Combine multiple conditions

Step 2: Execute Iteration

For each iteration:

  1. Take action - Apply fixes or implement changes

  2. Run validator - Execute tests, linters, or measurements

  3. Record progress:

    Iteration N:
    - Action: [what was done]
    - Results: [metrics/outcomes]
    - Issues remaining: [count/description]
    - Decision: [Continue/Success/Stop]
    

Read the full file on GitHub · 248 lines

Files

What ships with it

6 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. 1mo ago First seen · 248 lines · 71 tokens per session scan A a932d8e843f6

Subscribe to this mod's changes

iterative-refinement is a skill published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It adds 71 tokens to every session and 1,561 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 2026-08-31.

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