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 kochetkov-ma/claude-brewcode --skill agentsgit clone --depth 1 https://github.com/kochetkov-ma/claude-brewcodeWrote 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/kochetkov-ma/claude-brewcode/agents)<a href="https://agentmods.dev/skills/kochetkov-ma/claude-brewcode/agents"><img src="https://agentmods.dev/badge/skills/kochetkov-ma/claude-brewcode/agents/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/kochetkov-ma/claude-brewcode/agents"><img src="https://agentmods.dev/badge/skills/kochetkov-ma/claude-brewcode/agents.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 | $0.00028 | $0.01950 |
| Opus 5.5 | $0.00011 | $0.00780 |
| Sonnet 5.5 | $0.00006 | $0.00390 |
| Haiku 4.5 | $0.00003 | $0.00195 |
Grade A, and why
agents 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.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex agent authoring
Create, improve, review, sync, list or report on standalone Codex agent TOMLs. Read schema, template, discovery/tools and context before authoring. Use sync for current-code reconciliation. These native references are authoritative for this workflow; do not translate another client's fields or runtime claims.
Prompt contract
Read the complete RU/EN prompt and prior answers; mode tokens may sit anywhere in it.
| Mode | EN keywords | RU keywords | Mutates? |
|---|---|---|---|
status |
status, overview, health, show me | статус, состояние, что есть | no |
list |
list | список, перечисли | no |
create |
create, new, scaffold, add | создай, добавь | yes |
improve |
improve, refactor, fix | улучши, почини | yes |
review |
review, validate | ревью, проверь корректность | no |
sync |
sync, memory sync | синк, меморисинк, актуализируй, обнови знания | yes |
- Mode: an explicit standalone mode token wins; else most distinct whole-word keyword hits (table above). Tie with status -> status. No hit or empty -> status. A bare existing TOML name/path -> improve.
- Scope: take targets from prose, never the first word as a positional path. Plural/all/multiple targets -> one bounded owner per target in parallel.
- Ask: reuse resolved answers/authorization; unresolved mutating choices return one bundled material decision to main, missing outcome-changing decisions only. Read-only modes ask nothing unless a menu was explicitly requested: one available main-chat input request with status, status-all, create, improve, review, sync, list and cancel choices. Cancel stops.
Print once, after resolving mode and targets, before work (plan values English, INPUT verbatim):
PLAN — brewcode:agents
INPUT: <verbatim prompt or "(empty)">
MODE: <canonical mode and explicit/keyword/default reason>
SCOPE: <exact paths and requested scope>
DO: <2-5 imperative steps>
RESULT: <requested artifact or report>
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +2 lines 2acd9ec1631c
- 15d ago Changed · -144 lines cd5a11043377
- 1mo ago First seen · 231 lines · 28 tokens per session scan A 9a0037b9ba0e
agents is a skill published in the GitHub repository kochetkov-ma/claude-brewcode (32 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 1,950 once invoked, about $0.0001 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 2026-08-30.
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