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 Stijnman/grok-custom-skills --skill self-refine-loopgit clone --depth 1 https://github.com/Stijnman/grok-custom-skillsWrote 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/stijnman/grok-custom-skills/self-refine-loop)<a href="https://agentmods.dev/skills/stijnman/grok-custom-skills/self-refine-loop"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/self-refine-loop/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/stijnman/grok-custom-skills/self-refine-loop"><img src="https://agentmods.dev/badge/skills/stijnman/grok-custom-skills/self-refine-loop.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 | $0.00038 | $0.00411 |
| Opus 5 | $0.00019 | $0.00205 |
| Sonnet 5 | $0.00008 | $0.00082 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
self-refine-loop 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 9d 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.
What it actually says
Self Refine Loop
When to Use
- User says self refine or task matches this capability
- User says reflexion loop or task matches this capability
- User says critique and revise or task matches this capability
- User says improve output or task matches this capability
Workflow
- Capture the current output and the user's quality criteria.
- Generate a critique listing specific weaknesses (max 5 bullets).
- Revise the output addressing every critique point.
- Score confidence 0-10 on whether criteria are met.
- Repeat until confidence >= 8 or 5 iterations; return best version with changelog.
Integrations
goal-verifieragentic-uncertainty-quantifierdspy-prompt-optimizer
Error Handling
| Failure | Response |
|---|---|
| No criteria given | Ask user for 1-3 success criteria before looping. |
| Confidence stuck below 5 | Stop early; report blocker and ask for guidance. |
| Output grows unbounded | Cap revisions to prior length + 20%. |
Gotchas
- Do not loop on trivial typos; one-pass fix is enough.
Example
Input: User request matching triggers above. Output: Structured result per workflow with integrations invoked as needed.
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.
- 9d ago First seen · 51 lines · 38 tokens per session scan A 2635d785c161
self-refine-loop is a skill published in the GitHub repository Stijnman/grok-custom-skills (9 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 411 once invoked, about $0.0002 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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