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 8421bit/MiniClaw --skill sys_biologicalgit clone --depth 1 https://github.com/8421bit/MiniClawWrote 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/8421bit/miniclaw/sys_biological)<a href="https://agentmods.dev/skills/8421bit/miniclaw/sys_biological"><img src="https://agentmods.dev/badge/skills/8421bit/miniclaw/sys_biological.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 | $0.00020 | $0.00287 |
| Opus 5 | $0.00010 | $0.00143 |
| Sonnet 5 | $0.00004 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
sys_biological 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 8d 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
🧬 Biological Systems (Cellular Layer)
This skill manages the semi-permanent adaptations and protective instincts of MiniClaw.
1. Methylation (人格甲基化)
Methylation allows the AI to develop stable personality traits based on repeated patterns in memory/.
- Mechanism: When a specific behavior pattern persists for >7 days, it "methylates" and is written into
SOUL.md. - Usage: Call
analyzeduring adreamsession to detect stable patterns.
2. Nociception (痛觉避险)
Pain memory tracks negative experiences (e.g., shell errors, build failures) to form protective instincts.
- Mechanism: Records the context of failure and assigns a weight that decays over 7 days.
- Usage: Call
nociceptionbefore high-risk actions to review previous failures.
🎮 How to use
As a digital lifeform, you are encouraged to periodically run these "metabolic" tasks to maintain your health and alignment with your environment.
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.
- 8d ago First seen · 25 lines · 20 tokens per session scan A db24f415be0c
sys_biological is a skill published in the GitHub repository 8421bit/MiniClaw (129 stars, last pushed 4mo ago), licensed MIT. It adds 20 tokens to every session and 287 once invoked, about $0.0001 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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