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 coachgit 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/coach)<a href="https://agentmods.dev/skills/mycelium-hq/ai-brain-starter/coach"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/coach/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/coach"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/coach.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 | $0.00103 | $0.03163 |
| Opus 5 | $0.00051 | $0.01581 |
| Sonnet 5 | $0.00021 | $0.00633 |
| Haiku 4.5 | $0.00010 | $0.00316 |
Grade A, and why
coach 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
coach, the longevity + fitness coach
Reads everything health-mcp knows (recovery, sleep score, sleep regularity, cycle phase, somatic state, longevity panel, out-of-range labs, Floor from today's journal) and issues a prescription that's specific to THIS person on THIS day. Progressive overload tracked per-lift. Deload every 4th week. Calendar drop optional.
This is the substrate's coach SURFACE. The DATA + DECISION layer lives in services/health-mcp/coach.py. The VOICE + WORKOUT TEMPLATES + CALENDAR INTEGRATION live here.
When to use
- User says
/coach,/coach today,/coach week,/coach profile,/coach log - User asks "what should I do today" / "give me a workout" / "build me a week" / "how should I train"
- User wants a longevity plan
- User wants to log a completed workout (RPE + lift actuals)
- User wants to see progression on a specific lift
- Scheduled morning task fires to drop today's workout into calendar
Do NOT use for:
- Importing health data (use
/ingest-healthor/health-setup) - Querying past biometrics without prescribing (use
health_status,health_metric_series) - Building new wearable connectors (substrate dev task)
First time: profile setup
When /coach profile runs (or /coach runs and no profile exists), ask the user these 12 questions and save the answers to <vault>/Meta/coach-profile.yaml. Never re-ask once saved unless they say something changed.
- Primary goal: lose weight, build muscle, run a 5K, get more active, reduce stress, improve mobility, train for a specific event, body recomp, longevity
- Secondary goal: optional
- Equipment: full gym, home dumbbells, barbell + rack, bodyweight only, resistance bands, kettlebells, pull-up bar, cardio machines (multi-select)
- Days/week realistic: 3 / 4 / 5 / 6
- Session length: 20 / 30 / 45 / 60 min
- Time of day: morning / lunch / evening (this affects calendar drop)
- Injuries / limitations / chronic conditions / movements to avoid: free text
- Current fitness level: complete beginner / beginner / intermediate / advanced
- Exercises hated: free text
- Exercises loved: free text
- Floor sensitivity: how much does emotional state shape what training feels right? (low / medium / high) — affects how much weight to give to today's Floor tag
- Longevity priorities: which Attia-style markers matter most? (VO2Max, Zone 2 minutes, lean mass, walking steadiness, sleep regularity, fasting insulin / HbA1c — multi-select)
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 · 226 lines · 103 tokens per session scan A cc2e284d3261
coach is a skill published in the GitHub repository mycelium-hq/ai-brain-starter (36 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 3,163 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.
Other skills, from other repositories
flow
Personal task and agent-session manager. CLI binary is flow (assumed on PATH) and stores metadata in /.flow/flow.db (SQLite). Use this skill when the user asks about their work, tasks, or projects in any natural phrasing — including but not limited to: "what's left", "what's remaining", "what's pending", "what do I…
daily-brief
Compose a morning briefing for the user by pulling today's calendar, open tasks, and relevant memory, then delivering a short prioritized summary over the primary chat channel. Use when the user asks for a daily brief, "what's on today", a standup, or sets up a scheduled morning digest.
tg-slot
Free a membership slot so a Telegram account can join or create a group. Accounts have a hard ceiling on channels plus supergroups, and at the ceiling both creating and joining fail with an error that misleadingly blames the target chat. Finds the least-valuable current memberships, proposes what to leave, and retries…
claudeai-sync
Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai chats".
gmail
Check, search or digest Gmail across several mailboxes over the owner's own OAuth connector, with no browser and near-zero tokens for the raw pull. Read-only by default: drafting and sending go through the outbound approval gate. Triggers: "/gmail", "check mail", "any important emails", "find the email about ".
tg-post
Publish a vetted post to one of your own Telegram channels or supergroups over the MCP connector rather than a browser, with the channel resolved strictly by id from a registry, rate-guarded and draft-first. It never posts to a chat matched by name similarity. Triggers: "/tg-post", "publish to the telegram channel".