Borrowing it
Nothing to install: this file belongs to kissrosecicd-hub/agents-evolution. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kissrosecicd-hub/agents-evolution/main/.agents/skills/meta/orchestration/recovery/SKILL.mdgit clone --depth 1 https://github.com/kissrosecicd-hub/agents-evolutionWrote 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/kissrosecicd-hub/agents-evolution/recovery)<a href="https://agentmods.dev/skills/kissrosecicd-hub/agents-evolution/recovery"><img src="https://agentmods.dev/badge/skills/kissrosecicd-hub/agents-evolution/recovery/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/kissrosecicd-hub/agents-evolution/recovery"><img src="https://agentmods.dev/badge/skills/kissrosecicd-hub/agents-evolution/recovery.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 | $0.00067 | $0.01125 |
| Opus 5 | $0.00034 | $0.00562 |
| Sonnet 5 | $0.00013 | $0.00225 |
| Haiku 4.5 | $0.00007 | $0.00112 |
Grade A, and why
meta-agent-recovery 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 10d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta: Agent Recovery
Обрабатывает сбои субагентов — таймауты, зависания, каскадные отказы — и обеспечивает graceful degradation.
Типы сбоев
| Тип | Симптом | Причина |
|---|---|---|
| Таймаут | Агент не отвечает N секунд | Задача слишком сложная, модель зависла |
| JSON парсинг | InvalidParameter, function.arguments |
Ответ слишком длинный, спецсимволы |
| Каскадный | Агент B без данных от агента A | Агент A упал, B ожидает его результат |
| Частичный | Агент ответил но не завершил | Прервался на середине задачи |
| Полный | Агент вернул ошибку сразу | Неподдерживаемый subagent_type |
Стратегии восстановления
1. Таймаут → Skip & Continue
Агент не отвечает → ждать 30s → skip → продолжить с остальными →
в отчёте: "X agent skipped (timeout), results from Y agents"
Когда: Агент не критичный для результата.
2. Таймаут → Retry
Агент не отвечает → ждать 30s → повторить с упрощённым промптом →
если снова таймаут → skip
Когда: Агент важный, задача не слишком длинная.
3. Каскадный → Fallback
Агент A упал → агент B не может работать без A →
B тоже skip → main agent делает работу A сам
Когда: Критичный агент (без него весь pipeline ломается).
4. Частичный результат → Использовать
Агент начал но не закончил → взять что есть →
в отчёте: "partial result from X agent, may be incomplete"
Когда: Частичные результаты полезны (нашёл 3 из 5 проблем).
5. Полный сбой → Main agent fallback
Агент вообще не запускается → main agent берёт его роль →
читает SKILL.md → выполняет задачу сам
Когда: Агент недоступен, subagent_type не поддерживается.
Матрица решений
| Агент упал | Критичен? | Действие |
|---|---|---|
| code-reviewer | Да (основной аудит) | Retry → Fallback: main agent делает review |
| security-auditor | Да (безопасность) | Retry → Fallback: main agent проверяет секреты |
| test-architect | Нет (можно потом) | Skip → пометить «тесты написать позже» |
| debugger | Зависит от бага | Если баг критичный → main agent чинит |
| docs-writer | Нет | Skip → «документацию добавить позже» |
| git-doctor | Нет | Skip → пользователь сделает сам |
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.
- 10d ago First seen · 124 lines · 67 tokens per session scan A 0ee7cfd95a35
meta-agent-recovery is a skill published in the GitHub repository kissrosecicd-hub/agents-evolution (31 stars, last pushed 5mo ago), licensed MIT. It adds 67 tokens to every session and 1,125 once invoked, about $0.0003 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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