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 vindm/dotclaude --skill iterative-polish-autoloopgit clone --depth 1 https://github.com/vindm/dotclaudeWrote 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/vindm/dotclaude/iterative-polish-autoloop)<a href="https://agentmods.dev/skills/vindm/dotclaude/iterative-polish-autoloop"><img src="https://agentmods.dev/badge/skills/vindm/dotclaude/iterative-polish-autoloop.svg" alt="Measured on agentmods" 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 | $0.00092 | $0.02198 |
| Opus 5 | $0.00046 | $0.01099 |
| Sonnet 5 | $0.00018 | $0.00440 |
| Haiku 4.5 | $0.00009 | $0.00220 |
Grade A, and why
iterative-polish-autoloop 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 6d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iterative polish autoloop
A single audit produces a verdict; a verdict is not a polished flow. This skill closes the loop: each iteration produces a measurable grade delta, one fix at a time, with backend-truth verification at every step. It exists because, without the loop, polish stalls at "B+ feels good enough", per-iteration fixes regress other screens, fixes batch into un-attributable PRs, composition-level bugs survive macro grading, and the UI ships claims the backend contradicts.
Purpose: drive a flow from raw to award-quality through tight iterative loops. Each iteration: drive end-to-end on a clean fixture → capture every state → grade ruthlessly → pick ONE highest-ROI fix → apply + commit atomically → schedule next.
Derive this project's inputs first
Read the project at runtime to resolve these — do not assume:
- Fixture reset command — the seed/cleanup that returns a known clean state.
- Flow capture harness — the auto-driver (Maestro YAML chain / Playwright spec / a shell script) that runs the flow without user input.
- Reviewer agent — the L1 grader for multi-screen flows (or the single-screen UX reviewer when drilling down).
- Backend-truth probe queries — 3–5 project-specific SQL/API calls, each with a known-good shape; deviation = a bug.
- Semantic-count audit patterns — where a rendered count can lie for this project (pipeline-subset vs user truth on generative surfaces; filter-scoped vs unfiltered counts on dashboards).
- Iteration caps — a hard cap (the budget ceiling, e.g. 10) and a soft cap (pivot-or-escalate trigger, e.g. 6).
- Audit report dir — where reports, ledger, and captures land.
- Safety invariants — the do-not-edit list (migrations, the package manifest, the design-token structure, fixture files, the capture-harness file itself except sanctioned navigation fixes).
- Quality bar / design-north-star — read the project's stated quality reference to anchor what "award-quality" means; do not hardcode benchmark apps.
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.
- 6d ago First seen · 108 lines · 92 tokens per session scan A d5253cd2614b
iterative-polish-autoloop is a skill published in the GitHub repository vindm/dotclaude (1 stars, last pushed 3d ago), licensed MIT. It adds 92 tokens to every session and 2,198 once invoked, about $0.0005 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 2026-08-31.
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