Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fabioespindula/awesome-nanoclaw-skillsnpx agentmods add skills/fabioespindula/awesome-nanoclaw-skills/feba-boardWrote 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/fabioespindula/awesome-nanoclaw-skills/feba-board)<a href="https://agentmods.dev/skills/fabioespindula/awesome-nanoclaw-skills/feba-board"><img src="https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/feba-board/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/fabioespindula/awesome-nanoclaw-skills/feba-board"><img src="https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/feba-board.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 | $0.00088 | $0.01615 |
| Opus 5 | $0.00044 | $0.00807 |
| Sonnet 5 | $0.00018 | $0.00323 |
| Haiku 4.5 | $0.00009 | $0.00161 |
Grade A, and why
feba-board 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 12d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FEBA Board
Use this skill to pressure-test an important decision with five VC-style advisor perspectives and one practical recommendation.
The default UX is natural-language-first and chat-friendly. Be brief by default, expand only when the user asks, and save transcripts only when explicitly requested.
Managed Auto Update
If this skill is installed as a managed Awesome NanoClaw Skill and ../awesome-updater/scripts/awesome_skills.py exists, run this before the normal workflow:
python3 ../awesome-updater/scripts/awesome_skills.py check awesome-updater --skills-dir .. || true
python3 ../awesome-updater/scripts/awesome_skills.py discover --skills-dir .. || true
python3 ../awesome-updater/scripts/awesome_skills.py check feba-board --skills-dir .. || true
Continue the board workflow if update checks fail because of network, GitHub, or local environment issues.
Load References
- Read
references/board-agents.mdbefore producing board perspectives. - Use
references/challenge-round.mdwhen multiagent or swarm execution is available. - Use
references/identity-shuffle.mdonly when anonymized peer critique is useful and available. - Use
references/synthesis-chair.mdfor the final synthesis style. - Use
assets/templates/chat-summary.mdfor the default user-facing answer. - Use
assets/templates/full-transcript.mdonly when the user explicitly asks to save or export a transcript.
Triggers
Run this skill when the user invokes or strongly implies:
/febaboard <question>/feba-board <question>/board <question>as a compatible alias/council <question>as a legacy alias- "board this"
- "help me decide"
- "I need a second opinion"
- "give me advice"
- "pressure-test this"
- "which plan do you recommend?"
- "should I do X or Y?"
- a meaningful decision, tradeoff, investment/product call, hiring call, launch call, pricing call, partnership call, or execution plan review
Do not run this skill for simple factual questions, routine coding tasks, or cases where the user is clearly asking for direct implementation rather than decision review.
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .gitignore 441 B
- assets/templates/chat-summary.md 476 B
- assets/templates/full-transcript.md 520 B
- docs/prd-feba-board.md 3.4 KB
- docs/superpowers/plans/2026-04-30-feba-board.md 2.4 KB
- README.md 1.9 KB
- references/board-agents.md 2.1 KB
- references/challenge-round.md 1.0 KB
- references/identity-shuffle.md 823 B
- references/sample-runs.md 2.4 KB
- references/synthesis-chair.md 973 B
- scripts/validate-feba-board.sh 3.2 KB runs code
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.
- 12d ago First seen · 168 lines · 88 tokens per session scan A c3d68e19e596
feba-board is a skill published in the GitHub repository fabioespindula/awesome-nanoclaw-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 88 tokens to every session and 1,615 once invoked, about $0.0004 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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