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 luabagg/agent-skills --skill cognitive-refactorgit clone --depth 1 https://github.com/luabagg/agent-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/luabagg/agent-skills/cognitive-refactor)<a href="https://agentmods.dev/skills/luabagg/agent-skills/cognitive-refactor"><img src="https://agentmods.dev/badge/skills/luabagg/agent-skills/cognitive-refactor/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/luabagg/agent-skills/cognitive-refactor"><img src="https://agentmods.dev/badge/skills/luabagg/agent-skills/cognitive-refactor.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 | $0.00055 | $0.01644 |
| Opus 5.5 | $0.00022 | $0.00658 |
| Sonnet 5.5 | $0.00011 | $0.00329 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
cognitive-refactor 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 19d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cognitive Refactor
A complexity score counts branches. A reader counts the places they must open to answer one question. Refactor to reduce the places. A change that lowers the score and raises the places is a regression.
Loops: split by stage, not by field
A loop that reads several facts from each item stays one loop. The shape of the result:
- The function that owns the result owns the loop.
- A helper takes one item, or one item and the running result, and returns the new result.
widenServiceWindow(serviceWindow, row)is a rule.findEarliestDate(rows.map(...))is a hidden loop. - When items must be checked before they are used, add one pass per stage: validate, then accumulate. Two passes by stage. One pass per field is the failure this section exists for.
- Reach the complexity target by moving branches into per-item helpers. Moving the loop into helpers does not count.
// Wrong shape: one pass per field. A reader follows one row through six functions.
const billed = sumCents(rows.map((row) => row.billedAmount))
const paid = sumCents(rows.map((row) => row.paidAmount))
const serviceWindow = getServiceWindow(rows)
const claimNumbers = collectDistinct(rows.map((row) => row.claimNumber))
// Right shape: one pass to validate, one pass to accumulate, helpers per row.
const rowMissingMoney = rows.find(isMissingMoney)
if (rowMissingMoney) {
return { ok: false, reason: "missing-money" }
}
let totals = EMPTY_TOTALS
let serviceWindow = EMPTY_WINDOW
const claimNumbers = new Set<string>()
for (const row of rows) {
totals = addRowMoney(totals, row)
serviceWindow = widenServiceWindow(serviceWindow, row)
addIfPresent(claimNumbers, row.claimNumber)
}
Check: pick one item and count the functions a reader opens to learn what happens to it. The loop and the helpers it calls fit on one screen.
Loops: a built-in beats a hand-rolled accumulator
Before extracting a helper for a loop, check whether the loop only rebuilds a Map, Set, or grouping that a built-in already returns. When it does, delete the loop and the type that describes its shape. Keeping the helper does not make the code simpler. It adds one more place to open for a fact the language already tracks.
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.
- 19d ago Changed · -6 tokens per session ae27e2dca9cf
- 24d ago Changed · +56 lines c6329841206f
- 1mo ago First seen · 71 lines · 61 tokens per session scan A 8de0e2a54904
cognitive-refactor is a skill published in the GitHub repository luabagg/agent-skills (3 stars, last pushed 12d ago), licensed MIT. It adds 55 tokens to every session and 1,644 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-11.
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