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 mycelium-hq/ai-brain-starter --skill evolvegit clone --depth 1 https://github.com/mycelium-hq/ai-brain-starterWrote 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/mycelium-hq/ai-brain-starter/evolve)<a href="https://agentmods.dev/skills/mycelium-hq/ai-brain-starter/evolve"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/evolve/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/mycelium-hq/ai-brain-starter/evolve"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/evolve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00100 | $0.00671 |
| Opus 5 | $0.00050 | $0.00336 |
| Sonnet 5 | $0.00020 | $0.00134 |
| Haiku 4.5 | $0.00010 | $0.00067 |
Grade A, and why
evolve 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 9d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/evolve — promote a cluster of instincts into a structure
{SKILL_DIR}= this skill's own folder (locally: the directory this SKILL.md lives in; a served brain substitutes the real absolute path before you read this). Shared starter files live at the repo root two levels up:{SKILL_DIR}/../... If a path does not resolve, name the missing file and stop — never guess another location.
When many related, high-confidence instincts pile up in one domain, that is a
signal to promote them into ONE reusable structure instead of leaving them as
loose memories. /evolve finds those clusters deterministically and drafts a
proposal you refine.
ECC source pattern: "/evolve clusters related instincts into higher-level structures: Commands / Skills / Agents." Reimplemented clean per license-hygiene.
Step 1 — run the clusterer (deterministic, zero LLM cost)
python3 "{SKILL_DIR}/../../scripts/instinct.py" evolve
It groups every instinct by inferred domain, computes each cluster's median
effective confidence, and for clusters that clear the propose bar
(>= 2 instincts AND median confidence >= 0.80) writes a scaffold to
<vault>/⚙️ Meta/Instinct Proposals/proposed-skill-<domain>.md. Clusters below
the bar print as watch (not yet ripe).
Step 2 — judge each PROPOSE cluster
For each proposal the script wrote, decide the structure:
- Command — the cluster is ONE repeatable procedure with a clear trigger.
- Skill — the cluster is a coherent body of domain guidance (most common).
- Agent — the cluster describes an autonomous multi-step workflow.
A cluster that is really just 2-3 facets of an existing rule should be CONSOLIDATED into that rule, not promoted. Reject those.
Step 3 — draft (only on confirm)
For an accepted cluster, draft the real skill/command body from the member instincts (keep each instinct's Action + Evidence). Place it in the right repo per the install rules, wire its discoverability + automation + verification in the SAME session (the three-layer wiring rule), then retire or link the source memories. Delete the proposal file once adopted or rejected — proposals are scratch, not a backlog.
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.
- 9d ago First seen · 56 lines · 100 tokens per session scan A 93056726968a
evolve is a skill published in the GitHub repository mycelium-hq/ai-brain-starter (36 stars, last pushed 2d ago), licensed MIT. It adds 100 tokens to every session and 671 once invoked, about $0.0005 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 2026-08-31.
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