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 griffinwork40/agent-framework --skill polishgit clone --depth 1 https://github.com/griffinwork40/agent-frameworkWrote 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/griffinwork40/agent-framework/polish)<a href="https://agentmods.dev/skills/griffinwork40/agent-framework/polish"><img src="https://agentmods.dev/badge/skills/griffinwork40/agent-framework/polish/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/griffinwork40/agent-framework/polish"><img src="https://agentmods.dev/badge/skills/griffinwork40/agent-framework/polish.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 | $0.00082 | $0.01204 |
| Opus 5.5 | $0.00033 | $0.00482 |
| Sonnet 5.5 | $0.00016 | $0.00241 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
polish 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 2mo 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.
This is a copy
100% identical to polish — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-agent contract
/contract
polish is a three-wave evaluator-optimizer loop that applies to any artifact at any workflow stage. Wave 1 locks concrete, testable criteria. Waves 2 and 3 alternate (evaluator → generator) until all criteria pass or the iteration cap is reached. The evaluator is always spawned stateless — it never sees prior generation history — eliminating the sycophancy failure mode that plagues shared-context review loops.
The orchestrator coordinates but never edits the artifact directly. All revisions are produced by the Wave 3 generator, which receives only the blocking_gaps list from the evaluator (not its full reasoning). This constraint prevents scope-creep revisions and keeps each iteration focused on the delta between current state and the locked criteria.
On cap exhaust the orchestrator emits the best-scoring version plus a structured remaining_gaps report so the caller can decide whether to extend the cap, escalate to a human, or ship with known gaps documented.
Inputs
| Field | Required | Description |
|---|---|---|
artifact |
yes | The text, spec, prompt, design doc, or code snippet to refine |
goal |
yes | Natural-language quality intent ("make this safe for external stakeholders") |
criteria |
no | Pre-supplied testable criteria — skips Wave 1 extraction if provided |
threshold |
no | pass_all (default) or pass_N where N is an integer |
cap |
no | Max refinement iterations (default: 4, max: 8) |
Wave 1 — Criteria Extraction
Trigger: Always, unless criteria were supplied by the caller.
Agent: Single subagent. Reads artifact + goal. Produces:
{
"criteria": [
{ "id": "C1", "text": "<concrete, binary-testable criterion>" },
...
],
"threshold": "pass_all | pass_N",
"cap": 4
}
Rules:
- Criteria must be falsifiable — "no jargon visible to end-users", not "improve clarity".
- Maximum 8 criteria. If the goal implies more, merge related ones.
- Criteria are locked after Wave 1. The evaluator may not add or modify them.
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.
- 2mo ago First seen · 140 lines · 82 tokens per session scan A 03c7d8d1f593
polish is a skill published in the GitHub repository griffinwork40/agent-framework (23 stars, last pushed 13d ago), licensed Apache-2.0. It adds 82 tokens to every session and 1,204 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to polish, differing in 0 lines, and is treated as a copy.
polish compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| polishgriffinwork40/agent-framework | Skill | 23 | 13d ago | Apache-2.0 | A | 82 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |