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 insightsgit 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/insights)<a href="https://agentmods.dev/skills/mycelium-hq/ai-brain-starter/insights"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/insights/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/insights"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/insights.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium YARA Match · line 332 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00091 | $0.11004 |
| Opus 5.5 | $0.00036 | $0.04402 |
| Sonnet 5.5 | $0.00018 | $0.02201 |
| Haiku 4.5 | $0.00009 | $0.01100 |
Grade A, and why
insights 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 1mo 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 — 573 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When the user types /weekly or /monthly, generate an insight report from their recent journal entries.
Language
Generate the entire report in the language the user writes in. If Spanish, all sections — coach, therapist, panel, floor notes — are in Spanish.
Spanish floor aliases: Asco (1) · Vergüenza (2) · Bochorno (3) · Culpa (4) · Apatía (5) · Resignación (6) · Confusión (7) · Soledad (8) · Aburrimiento (9) · Duelo (10) · Decepción (11) · Herida (12) · Miedo (13) · Frustración (14) · Deseo (15) · Rabia (16) · Desprecio (17) · Orgullo (18) · Valentía (19) · Esperanza (20) · Neutralidad (21) · Disposición (22) · Aceptación (23) · Razón (24) · Confianza (25) · Compasión (26) · Humildad (27) · Pertenencia (28) · Amor (29) · Gratitud (30) · Entusiasmo (31) · Asombro (32) · Alegría (33) · Paz (34)
Floor wikilinks in the report use Spanish aliases in Spanish: [[Miedo]], [[Valentía]] etc.
For /weekly -- read all journal entries from the current calendar week (Monday-Sunday). If today is Monday or Tuesday, default to the previous week (since there's barely any data yet). The user can specify "this week" to override.
For /monthly -- read all journal entries from the current calendar month (1st-last day). If today is the 1st-3rd, default to the previous month. The user can specify "this month" to override.
Journal entries are in: [VAULT_PATH]/Journals/
CRITICAL: How to find entries by date
DO NOT grep thousands of files. Use the journal index instead.
Step 0: Load the journal index
Read [VAULT_PATH]/⚙️ Meta/journal-index.json (or [VAULT_PATH]/Meta/journal-index.json on vaults without an emoji-prefixed Meta — the same folder build-journal-index.py writes to). Structure: {"total": N, "last_updated": "YYYY-MM-DD", "entries": [{file, date, floor, floor_level, floor_arc}, ...]}. Access entries via idx["entries"], then filter by entry["date"].
floor_arc is present only on entries that moved, and build-journal-index.py already stores it as a real list (e.g. ["Fear", "Frustration", "Courage"]) — read it straight from the index for the section 0e movement report instead of re-grepping frontmatter. If no entry in the period carries it, the field is genuinely absent from those entries; do not infer arcs.
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.
- 1mo ago First seen · 573 lines · 91 tokens per session scan A ac6808f746b0
insights is a skill published in the GitHub repository mycelium-hq/ai-brain-starter (48 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 11,004 once invoked, about $0.0004 per session on Opus 5.5. 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
nightly
Canonical seven-leg nightly close-parity protocol. Eleven independently evidenced checkpoints cover synthesis, reconciliation, context hygiene, sweeps, heat, digest, runtime health, cognitive state, ledger capture/review, and vault sync.
Promote
Take a slice of the current conversation and promote it to a durable vault artifact — concept note, project update, person profile, or doctrine entry. Pairs with /close. /close writes the daily note (transient outcome record); /promote elevates specific insights to permanent vault content the framework can refer back…
Stuck
Walk the 6-rung escalation ladder before declaring stuck or asking the principal. Most "stuck" is actually "haven't tried the next approach." Stopping is the last resort, not the first response.
open
Boot the session, load context from the vault, and surface what matters.
Self-Review
Spawn a reviewer subagent with 4-6 specific verification questions before declaring non-trivial code work done. Triggers when changes are >30 LOC, multi-file, hot-path, prompt-affecting, or genuinely uncertain. Bad asks produce bad answers — this skill forces structured verification questions, not "is this good?".
caddy-mute
Mute a Caddy hint class for a window. Defaults to 4h auto-expiry. Classes — memory, context, body, routing, all.