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 thinkgit 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/think)<a href="https://agentmods.dev/skills/tserentserenov/fmt-exocortex-template/think"><img src="https://agentmods.dev/badge/skills/tserentserenov/fmt-exocortex-template/think/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/think"><img src="https://agentmods.dev/badge/skills/tserentserenov/fmt-exocortex-template/think.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 | $0.00031 | $0.00376 |
| Opus 5 | $0.00015 | $0.00188 |
| Sonnet 5 | $0.00006 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
think 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.
What it actually says
ADI-цикл рассуждения
FPF B.5 (ADI). Доверие к данным: F-G-R (B.3) — факт/предположение/слух. Сравнение вариантов: A.19 — одинаковые критерии для всех.
Задача: $ARGUMENTS
1. Abduction (генерация гипотез)
Сгенерируй 2-3 различных гипотезы решения. НЕ останавливайся на первой идее!
2. Deduction (проверка логики)
Для каждой гипотезы:
- Проверь внутреннюю непротиворечивость
- Проверь соответствие ограничениям
- Выяви потенциальные проблемы
3. Induction (сбор evidence)
- Найди подтверждения/опровержения в коде
- Проверь документацию
- Поищи аналогичные паттерны в репозитории
4. Audit (проверка на bias)
- Не подвержен ли я якорению на первой гипотезе?
- Не игнорирую ли контр-evidence?
- Достаточно ли разнообразны гипотезы?
5. Decide (выбор и обоснование)
- Выбери лучшую гипотезу
- Задокументируй rationale выбора
- Укажи uncertainty и риски
Результат: структурированный анализ с финальной рекомендацией.
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 · +1 lines 2c98be210a76
- 9d ago First seen · 46 lines · 31 tokens per session scan A 77d0582389ae
think is a skill published in the GitHub repository TserenTserenov/FMT-exocortex-template (49 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 376 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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