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 naimkatiman/continuous-improvement --skill reviewgit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/review)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/review"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/review/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/naimkatiman/continuous-improvement/review"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/review.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 | $0.00018 | $0.00365 |
| Opus 5 | $0.00009 | $0.00182 |
| Sonnet 5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
omc-review 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 3d 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 omc-review — 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.
What it actually says
Review
Use this skill to evaluate work that already exists. Review never authors the change it is judging.
This is the canonical review workflow. merge-readiness routes here, and
ai-slop-cleaner is an opt-in lane within it.
Goal
Find what is actually wrong, ranked by severity, with enough detail to act on.
Workflow
- Establish what changed and what it was meant to do.
- Read the change against that intent.
- Check correctness first, then risk, then simplification.
- Verify each candidate finding before reporting it.
- Report findings most-severe first.
What to check
- Correctness — logic defects, edge cases, error paths, concurrency
- Risk — security boundaries, destructive operations, data integrity
- Reuse — existing utilities or patterns the change should have used
- Simplification — code that could be deleted or collapsed
- Coverage — behavior that ships untested
Rules
- Separate lanes: the reviewer must not be the author's same active context.
- Verify before reporting. A plausible-sounding finding that does not reproduce is noise.
- State severity honestly; do not pad the list to look thorough.
- "No findings" is a valid result when the work is sound.
- Advisory by default — review informs, it does not gate. Hard gates (release, security, destructive operations) stay separate and fail closed.
Output
- Findings, most-severe first, each with file, line, and concrete failure scenario
- What was checked and found clean
- Anything that could not be assessed
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.
- 3d ago First seen · 43 lines · 18 tokens per session scan A 9ea9e7e3ec29
omc-review is a skill published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 365 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to omc-review, differing in 0 lines, and is treated as a copy.
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