feba-board

feba-board is a skill for Claude Code from fabioespindula/awesome-nanoclaw-skills. It costs 88 tokens per session (1,615 once invoked), scanned A, original, MIT.

A decision-review workflow that asks five different adviser perspectives to examine an important choice and then gives one practical recommendation. A board here means a group of viewpoints used to challenge a decision.

In plain words
What is it for?
Use it for second opinions, decision reviews, planning checks, advice, and comparing the tradeoffs of possible actions.
Why use it?
It helps expose assumptions, tradeoffs, and risks before you commit to a plan. It is useful when one viewpoint is not enough to judge a difficult choice.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is python3 ../awesome-updater/scripts/awesome_skills.py check awesome-updater --skills-dir .. || true.

Good fit Use it for second opinions, decision reviews, planning checks, advice, and comparing the tradeoffs of possible actions.

Compare 6 skills from other repositories ↓
Install

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.

Clone the repo
git clone --depth 1 https://github.com/fabioespindula/awesome-nanoclaw-skills
agentmods
npx agentmods add skills/fabioespindula/awesome-nanoclaw-skills/feba-board

Made for: Claude Code.

Its marketplace also offers this one on its own, as the plugin feba-board/plugin install feba-board after adding the marketplace above.

Wrote 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.

agentmods badge for feba-board

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/feba-board/github.svg)](https://agentmods.dev/skills/fabioespindula/awesome-nanoclaw-skills/feba-board)
Your own site
<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.

agentmods 80×15 button for feba-board

Your own site · 80×15
<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>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,615 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 12d ago against content hash c3d68e19e596, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-feba-board.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/feba-board/SKILL.md · 168 lines

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.md before producing board perspectives.
  • Use references/challenge-round.md when multiagent or swarm execution is available.
  • Use references/identity-shuffle.md only when anonymized peer critique is useful and available.
  • Use references/synthesis-chair.md for the final synthesis style.
  • Use assets/templates/chat-summary.md for the default user-facing answer.
  • Use assets/templates/full-transcript.md only 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.

Read the full file on GitHub · 168 lines

Changes

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.

  1. 12d ago First seen · 168 lines · 88 tokens per session scan A c3d68e19e596

Subscribe to this mod's changes

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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