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 RobinNorberg/oh-my-copilot --skill refitgit clone --depth 1 https://github.com/RobinNorberg/oh-my-copilotWrote 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/robinnorberg/oh-my-copilot/refit)<a href="https://agentmods.dev/skills/robinnorberg/oh-my-copilot/refit"><img src="https://agentmods.dev/badge/skills/robinnorberg/oh-my-copilot/refit/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/robinnorberg/oh-my-copilot/refit"><img src="https://agentmods.dev/badge/skills/robinnorberg/oh-my-copilot/refit.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 | $0.00061 | $0.01217 |
| Opus 5.5 | $0.00024 | $0.00487 |
| Sonnet 5.5 | $0.00012 | $0.00243 |
| Haiku 4.5 | $0.00006 | $0.00122 |
Grade A, and why
refit 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 11d 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
91% identical to refit — 8 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Refit
Refit surveys the environment the agent worked in — not the code it produced (review and verify own that) and not one launch run's lessons (the sediment pass owns that). Every kind of work leaves friction behind: a ralph loop that kept tripping on the same check, an autopilot run that stalled waiting for a signal, a debugging session where the decisive output was never captured anywhere. OMC instruments all of it. Refit reads the instruments and converts recorded friction into environment changes, so the next run starts in a better yard.
Evidence first
The survey starts from OMC's instruments, not from a checklist. Read before asking the user anything:
trace_timeline/trace_summary— where turns stalled, repeated, or fanned out wastefullyomg session friction report— friction the session recorded about itself.omg/logs/and session state — errors, retries, swallowed failures- plan notepads
.omg/notepads/*/issues.mdandproblems.md— problems that accumulated across a plan - the repo's own check surface (
package.jsonscripts, CI workflows) — read before proposing any new check, because a check that exists but sits unwired or silently broken is the finding, not a reinvention
Findings emerge from what the data shows. An empty survey is a valid result and is stated plainly; an invented finding is the same violation as skipping the survey. A repo with no wired automated checks is itself a finding, not a neutral default.
Four fix-owner surfaces
Every finding names the surface that owns its fix. A finding that fits no surface is declined, explicitly and with the reason.
- Deterministic check — the failure was mechanical: a fixed syntactic pattern, a banned API, an import shape, a file-location rule. The fix is a lint rule, hook, or CI job — whichever the repo's existing guardrails make cheapest. Default to building the check over writing the rule.
- Steering surface — the failure was a judgement call no guardrail substitutes for: cross-file consistency, matches-surrounding-style. The fix lands in the matching
docs/standards/volume, or inCLAUDE.md/AGENTS.mdwithin the thin-entry budget the launch sediment pass defines. Navigation pointers over prose. - Tool surface — the drag was tooling itself: expensive or token-inefficient MCP calls, missing automation, checks too slow to be run when they matter. The fix lands in
.mcp.json,scripts/, hooks, or OMC config. - Information surface — the agent needed a signal it could not reach: dev-server logs, service state, third-party readonly access. The fix tees the log, exposes the state, or documents the access path.
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.
- 11d ago Changed · +8 lines 827606a3d8b9
- 13d ago First seen · 47 lines · 61 tokens per session scan A c1ca8c9574ba
refit is a skill published in the GitHub repository RobinNorberg/oh-my-copilot (5 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 1,217 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to refit, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
minimal-code-discipline
YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away.
skill-iterative-loop
Run tasks in a loop until goals are met — use for iterative refinement, polling, or convergence.
windbg-user-exception-triage
Use when a native C/C++ app, service, or user-mode driver host (including UMDF) crashes with a structured exception in a dump or WinDbg session, including native faults inside managed processes. Not for managed .NET exceptions, WinUI/XAML app errors, or kernel bugchecks.
windbg-kernel-lock-deadlock-triage
Use when kernel threads block on driver synchronization or Verifier reports a lock-order violation; build an owner/waiter graph. Not for treating every watchdog stop as a deadlock or listing every lock type with !locks.
windbg-user-mutex-held-across-co-await
Use when app, service, or user-mode driver C++ coroutine code holds a thread-affine lock across suspension and later hangs or fails. Not for all coroutine crashes or choosing lock performance.
moai-gtd
Canonical GTD entry point for capture, clarification, organization, review, and engagement.