review-council

review-council is a skill for Claude Code, Codex from pnp/sharepoint-skills. It costs 0 tokens per session (3,588 once invoked), scanned A, original, MIT.

A panel-review process that uses several expert perspectives to examine a document, idea, proposal, or plan and combine the feedback into a conclusion.

In plain words
What is it for?
Use it to critique work before sharing it with stakeholders, leadership, a board, investors, or the public, including when you want a red-team review.
Why use it?
It helps uncover hidden assumptions, weak reasoning, structural problems, and risks the author may overlook.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to critique work before sharing it with stakeholders, leadership, a board, investors, or the public, including when you want a red-team review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pnp/sharepoint-skills/review-council
Install

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.

Any agent
npx skills add pnp/sharepoint-skills --skill review-council
Clone the repo
git clone --depth 1 https://github.com/pnp/sharepoint-skills

Made for: Claude Code, Codex.

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 review-council

README.md
[![agentmods](https://agentmods.dev/badge/skills/pnp/sharepoint-skills/review-council/github.svg)](https://agentmods.dev/skills/pnp/sharepoint-skills/review-council)
Your own site
<a href="https://agentmods.dev/skills/pnp/sharepoint-skills/review-council"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/review-council/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 review-council

Your own site · 80×15
<a href="https://agentmods.dev/skills/pnp/sharepoint-skills/review-council"><img src="https://agentmods.dev/badge/skills/pnp/sharepoint-skills/review-council.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,588 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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 Excessive Agency · line 33
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00000 $0.03588
Opus 5 $0.00000 $0.01794
Sonnet 5 $0.00000 $0.00718
Haiku 4.5 $0.00000 $0.00359

Measured 12d ago against content hash f01d7cc731c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-council 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.

Skills/review-council/review-council/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Council

A skill that convenes a panel of expert personas to review any document, idea, proposal, or plan — then synthesizes a verdict with specific, actionable feedback.

This is not a proofreader. The Council exists to surface what the author can't see: blind spots, unstated assumptions, structural weaknesses, audience misalignment, and missed opportunities. It works on anything from a polished board deck to a half-formed idea spoken aloud.

When to Use

Trigger this skill when the user:

  • Uploads a file (.docx, .xlsx, .pptx, .pdf) and asks for feedback, review, or critique
  • Pastes text and asks "what do you think" or "poke holes in this"
  • Describes an idea verbally and wants it stress-tested
  • Says "convene the council," "panel review," or "red team this"
  • Asks "what am I missing" or "would this work"
  • Wants feedback before sharing something with stakeholders, leadership, a board, investors, or the public

Step 1 — Determine the Input

The Council reviews anything. Identify what the user is presenting:

SharePoint artefact in context: If the user is on a SharePoint page, news post, or document library with a file open / selected, take that as the input by default and confirm in one short line ("Reviewing Q3 Strategy.docx in the Strategy library — continue?"). The Council reads:

  • Library files (.docx, .xlsx, .pptx, .pdf) — read via the appropriate file tool.
  • SharePoint pages and news posts — read the page's text content, title, and section structure.
  • List items — review the title, description / rich-text fields, and any attached files. State which fields are being reviewed.

Uploaded file: Read the file using the appropriate method for its type. For .docx, .xlsx, .pptx, or .pdf, read the file contents before proceeding. For spreadsheets, understand the data structure, formulas, and what story the data tells. For decks, evaluate both the narrative arc and individual slide content. For documents, read the full text.

Read the full file on GitHub · 212 lines

Files

What ships with it

1 file 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.

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 · 212 lines · 0 tokens per session scan A f01d7cc731c6

Subscribe to this mod's changes

review-council is a skill published in the GitHub repository pnp/sharepoint-skills (116 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,588 tokens. 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 2026-08-30.