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 kaisa-kucherenko/claude-code-flow --skill twixgit clone --depth 1 https://github.com/kaisa-kucherenko/claude-code-flowWrote 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/kaisa-kucherenko/claude-code-flow/twix)<a href="https://agentmods.dev/skills/kaisa-kucherenko/claude-code-flow/twix"><img src="https://agentmods.dev/badge/skills/kaisa-kucherenko/claude-code-flow/twix/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/kaisa-kucherenko/claude-code-flow/twix"><img src="https://agentmods.dev/badge/skills/kaisa-kucherenko/claude-code-flow/twix.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 | $0.00116 | $0.00826 |
| Opus 5.5 | $0.00046 | $0.00330 |
| Sonnet 5.5 | $0.00023 | $0.00165 |
| Haiku 4.5 | $0.00012 | $0.00083 |
Grade A, and why
twix 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 18d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twix — a reviewer pair on the diff
Roster — твікс = Agent agatha + Agent arthur (default); твікс лайт = Agent arthur +
Agent dash; two names in the trigger = exactly those two. прекоги = the precogs workflow
(workflows/precogs.js in this repo, installed per its README; args in its header). Roster and
synthesis come from the script; the rules below the script cannot enforce itself the calling
session supplies through its args — the scope with untracked names, the spec/ADR path, the
context. Its debate mode is a deliberate second round on the same findings, not a re-run after
patches; rule 5 applies to re-runs.
Panel rules (shared by twix, precogs, /implement step 5)
- Scope = uncommitted working-tree changes:
git diff HEADplus untracked files.git diffdoes not show untracked files andgit status --shortcollapses a new directory into one line, so list them withgit status --short --untracked-files=alland name every file in the prompt with "read these directly" — a reviewer that only diffs sees nothing and reports a clean change. The user may name another scope (PR, commit range, files). Put the exact git command and the untracked names in every prompt so they review the same thing. - Launch all reviewers in ONE message — parallel. Each prompt carries:
- the scope command; what changed and why (they never see the conversation); the spec/ADR path if one exists;
- where the project's packages live for API-signature checks (the service venv named in the
project's
CLAUDE.md, not system python); - severity buckets BLOCKING / IMPORTANT / NIT;
- the explicit out: "If a category is empty, say 'BLOCKING: none.' etc.; if everything is clean, say 'No issues found.' A clean review is a valid result.";
- "An assumption about the environment stated in a comment (timezone of a column or process, encoding, locale, a default) is verified against the running environment or reported as UNVERIFIED — never confirmed by reading the comment."
- Frozen tree while they run — no edits, no stash, no checkout. Scratch goes to the scratchpad.
- Merged verdict: dedupe, mark findings several reviewers raised, verify every BLOCKING against the code before accepting it — a surprising one empirically (run it, query it). Report in plain language, four buckets: found / fixing myself / needs your yes / rejected and why. Implementation-level fixes: the session applies them itself; ADR/product-level ones go to the user.
- Re-run only on the user's word, with prompts byte-identical to the first pass — no "we fixed A, B, C, verify" priming.
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.
- 18d ago Changed 47b6d84991a7
- 1mo ago First seen · 49 lines · 116 tokens per session scan A 45c447f5a072
twix is a skill published in the GitHub repository kaisa-kucherenko/claude-code-flow (23 stars, last pushed 4d ago), licensed MIT. It adds 116 tokens to every session and 826 once invoked, about $0.0005 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 2026-09-19.
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Use when drafting or revising ASPLOS prose — engineering the first two pages that rapid review actually reads, stating the cross-layer insight as one quotable sentence, structuring per-layer mechanism sections, writing bounded claims, and fitting everything into 11 self-contained pages that include figures and…
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Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the…
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Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…