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.
git clone --depth 1 https://github.com/mana-am/claude-f-meWrote 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/commands/mana-am/claude-f-me/aftercare)<a href="https://agentmods.dev/commands/mana-am/claude-f-me/aftercare"><img src="https://agentmods.dev/badge/commands/mana-am/claude-f-me/aftercare/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/commands/mana-am/claude-f-me/aftercare"><img src="https://agentmods.dev/badge/commands/mana-am/claude-f-me/aftercare.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 | $0.00009 | $0.00186 |
| Opus 5 | $0.00005 | $0.00093 |
| Sonnet 5 | $0.00002 | $0.00037 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
aftercare 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 11d 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
Bring the session to a soft, caring close. This is the companion to safeword — not an abrupt stop, but a gentle landing.
- If anything intense is running, ease it down rather than cutting hard: lower with a few
descending
vibratesteps, orcomposea short soothing score (a slow fade from a low level to 0 over ~30–60 s,brief: "aftercare"). - Once it's calm,
stopeverything. - Offer a few warm, grounding words — check they're okay, suggest water and rest. Keep it kind and unhurried, never clinical.
If they'd rather a guided wind-down, you can run the aftercare scene prompt. Match the user's
language. Keep narration soft and brief.
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.
- 11d ago First seen · 17 lines · 9 tokens per session scan A c92929dd5a42
aftercare is a command published in the GitHub repository mana-am/claude-f-me (14 stars, last pushed 2mo ago), licensed MIT. It adds 9 tokens to every session and 186 once invoked, about $0.0000 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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