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 TserenTserenov/FMT-exocortex-template --skill kegit clone --depth 1 https://github.com/TserenTserenov/FMT-exocortex-templateWrote 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/tserentserenov/fmt-exocortex-template/ke)<a href="https://agentmods.dev/skills/tserentserenov/fmt-exocortex-template/ke"><img src="https://agentmods.dev/badge/skills/tserentserenov/fmt-exocortex-template/ke/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/tserentserenov/fmt-exocortex-template/ke"><img src="https://agentmods.dev/badge/skills/tserentserenov/fmt-exocortex-template/ke.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00034 | $0.01061 |
| Opus 5 | $0.00017 | $0.00531 |
| Sonnet 5 | $0.00007 | $0.00212 |
| Haiku 4.5 | $0.00003 | $0.00106 |
Grade A, and why
ke 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 4d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Extraction (Capture-to-Pack)
Выполни извлечение знания: $ARGUMENTS
Scope
Этот скилл делает:
- Inline-capture на рубеже сессии (маршрутизация «что → куда», анонс «Capture: X → Y»).
- Мгновенная запись правил (1-3 строки) в CLAUDE.md.
- Отложенная запись (сложное знание) — добавление в
inbox/captures/<YYYY-MM>.md(маршрут по дате события; правило → Шаг 3) для агента-экстрактора. Легаси-файлinbox/captures.mdновыми записями не пополняется (ротация WP-526, 29.08.2026) — читается как архив.
Этот скилл НЕ делает:
- Не разбирает
extraction-reports/*.md(pending-review кандидатов от агента R2). Это делает/apply-captures(в разработке, Ф3 WP-247). - Не пишет Pack-сущности (файлы DP., PD., MIM.*). Это делает
/apply-captures(в разработке) после решения R15. Альтернативно R15 может писать в Pack напрямую через Edit —/apply-capturesне единственный путь. - Не запускает агента-экстрактора R2 (работает через launchd каждые 3h в рабочие часы, запуск
extractor.sh inbox-check).
Три инструмента знания (разграничение):
| Инструмент | Роль | Когда | Выход |
|---|---|---|---|
/ke (этот скилл) |
R14 Заказчик / R1 Стратег | Рубеж сессии, inline | Правило в CLAUDE.md / запись в inbox/captures/<YYYY-MM>.md |
extractor.sh inbox-check (агент R2) |
R2 Экстрактор (ИИ, launchd 3h, work hours) | Автоматически | extraction-reports/*.md со status: pending-review |
/apply-captures (в разработке, Ф3 WP-247) |
R15 Валидатор | Close при N>0 pending-review | Pack-сущности + коммит + обновление status |
Детальная ВДВ-карта цикла: <governance-repo>/inbox/WP-247-ke-pipeline-vdv.md
Шаг 1. Определи тип знания
| Тип | Куда | Когда | Через KE? |
|---|---|---|---|
| Правило для всех репо (1-3 строки) | CLAUDE.md (корень workspace) |
Сразу | Нет |
| Правило для одного репо (1-3 строки) | <repo>/CLAUDE.md |
Сразу | Нет |
| Доменное (архитектура, паттерны) | Соответствующий Pack | Close | Да |
| Различение, метод, FM, WP | Соответствующий Pack | Close | Да |
| Реализационное (вендор, стек, деплой) | DS docs/ | Close | Да (KE → DS) |
| Крупный урок | memory/<topic>.md |
Close | Нет |
| Зерно для поста | DS-strategy/drafts/draft-list.md |
Close | Нет |
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.
- 4d ago Changed · +1 lines 6b353eda26ee
- 10d ago First seen · 67 lines · 34 tokens per session scan A cac71cab3383
ke is a skill published in the GitHub repository TserenTserenov/FMT-exocortex-template (50 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 1,061 once invoked, about $0.0002 per session on Opus 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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