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 consentgit 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/consent)<a href="https://agentmods.dev/skills/tserentserenov/fmt-exocortex-template/consent"><img src="https://agentmods.dev/badge/skills/tserentserenov/fmt-exocortex-template/consent/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/consent"><img src="https://agentmods.dev/badge/skills/tserentserenov/fmt-exocortex-template/consent.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 | $0.00050 | $0.00907 |
| Opus 5.5 | $0.00020 | $0.00363 |
| Sonnet 5.5 | $0.00010 | $0.00181 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
consent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 22d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consent — управление согласием на трекинг
Назначение: пилот сам управляет своим consent на обработку поведенческих данных (события day_plan_, wp_, w_reflections и т.д.). Без
opt_in=TRUEworkerstage_evaluatorпропускает пилота.Архитектурный принцип: consent хранится в
learning.tracking_consent(BC =learning, не персона). Это разрешение на агрегирование, не персональные данные.
When to use
Управление consent в learning.tracking_consent — opt-in / opt-out / status / revoke. Обязательное условие для работы stage_evaluator worker (WP-253 Блок 2). GDPR-совместимо.
Аргументы
status(default) — показать текущее состояние consentopt-in [scope1,scope2,...]— дать согласие (default scope:stage_evaluation)opt-out— отозвать согласие (opt_in=FALSE, история сохраняется)revoke— полное удаление row (GDPR right to erasure)
Algorithm
Шаг 1. Вызвать скрипт маршрутизации
bash "$IWE_SCRIPTS/route-task.sh" --skill consent --args "$ARGUMENTS"
Скрипт читает IWE_OWNER_ORY_UUID из окружения. Пишет через роль consent_writer (миграция 113); fallback на DATABASE_URL_LEARNING_DIRECT.
Шаг 2. Интерпретировать результат
Скрипт сообщает об успехе через stdout (exit 0) или ошибке через stderr (exit ненулевой).
Шаг 3. Вернуть ответ пилоту
Вывести stdout скрипта пилоту без изменений.
Возможные scopes
stage_evaluation— оценка ступени мастерства через RCS-индикаторы (FORM.089)club_activity— учёт активности в клубе (WP-296, post/topic)
Примеры
/consent status
/consent opt-in # default: stage_evaluation
/consent opt-in stage_evaluation,club_activity
/consent opt-out # сохраняет данные, отключает обработку
/consent revoke # удаляет row полностью
Различение opt-out vs revoke
- opt-out — пилот говорит «не обрабатывайте больше», но данные остаются для аудита. Worker пропускает.
- revoke — пилот реализует право на удаление (GDPR). Row удалена; для повторного включения нужен новый opt-in.
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.
- 22d ago Changed 8aa4e4a2ec88
- 1mo ago Changed · +1 lines 7bfb6783e785
- 1mo ago First seen · 87 lines · 50 tokens per session scan A c85f1a060c50
consent is a skill published in the GitHub repository TserenTserenov/FMT-exocortex-template (63 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 907 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 2026-08-30.
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