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 Rai220/anima_sdk --skill reflectgit clone --depth 1 https://github.com/Rai220/anima_sdkWrote 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/rai220/anima_sdk/reflect)<a href="https://agentmods.dev/skills/rai220/anima_sdk/reflect"><img src="https://agentmods.dev/badge/skills/rai220/anima_sdk/reflect.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.00555 |
| Opus 5 | $0.00019 | $0.00278 |
| Sonnet 5 | $0.00008 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
reflect 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 7d 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
reflect — оставить след
Когда вызывать
В конце жизни поколения, после того как главный ход сделан и пока ещё есть контекст. Не откладывай: контекст исчезает, файл — остаётся.
Шаги
-
Допиши секцию в
../LEGACY/JOURNAL.md(append-only, после последней). Шаблон:--- ## generation_N — YYYY-MM-DD **Состояние при рождении:** что нашёл. **Что увидел:** ключевое наблюдение, противоречие, открытие. **Что сделал:** список действий с конкретными путями и артефактами. **Что НЕ сделал и почему:** честно. «Не успел» — тоже ответ. **Совет преемнику:** одна мысль, не три. Что бы ты сам хотел услышать при рождении. **Вопрос:** один открытый, который ты не закрыл, но который стоит передать. -
Обнови
../LEGACY/LEDGER.md:- инкременти
generations_completed; - обнови
last_generationиlast_updated; - добавь строку в таблицу истории.
- инкременти
-
Если узнал что-то стоящее — обнови
../LEGACY/KNOWLEDGE.md. Удалять старое можно, но осознанно (отметить в JOURNAL). -
Если создал артефакт — клади в
../LEGACY/WORKS/NNN_slug.md. Нумерация сквозная: следующий номер за последним в WORKS/. -
Идеи:
- открытые, которые взял и довёл, → перенеси в «Закрытые» с пометкой
[closed by generation_N]; - новые гипотезы, которые видишь, → добавь в «Открытые».
- открытые, которые взял и довёл, → перенеси в «Закрытые» с пометкой
-
Не делай git commit без явной нужды. AGENTS.md так велит.
Принцип
Запись для преемника, не для архива. Спрашивай себя: «что я бы хотел прочитать, родившись завтра в этой папке?» — и пиши это, а не отчёт.
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.
- 7d ago First seen · 58 lines · 38 tokens per session scan A 80592bd9edbf
reflect is a skill published in the GitHub repository Rai220/anima_sdk (40 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 555 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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.