review-promote

review-promote is a skill for Claude Code, Codex from regen-coordination/org-os-template. It costs 54 tokens per session (710 once invoked), scanned A, original, MIT.

A guided review process for checking knowledge-base records with a named human reviewer before changing their maturity status. A knowledge base stores structured information, and maturity describes how thoroughly an item has been checked.

In plain words
What is it for?
Use it to inspect review queues, examine an item's claims and provenance, record a human verdict, and promote one validated item at a time.
Why use it?
It prevents unchecked or automatically generated records from being promoted without human inspection and traceable sources.

Skill for Claude CodeCodex

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

Good fit Use it to inspect review queues, examine an item's claims and provenance, record a human verdict, and promote one validated item at a time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/regen-coordination/org-os-template/review-promote
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 regen-coordination/org-os-template --skill review-promote
Clone the repo
git clone --depth 1 https://github.com/regen-coordination/org-os-template

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-promote

README.md
[![agentmods](https://agentmods.dev/badge/skills/regen-coordination/org-os-template/review-promote/github.svg)](https://agentmods.dev/skills/regen-coordination/org-os-template/review-promote)
Your own site
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/review-promote"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/review-promote/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-promote

Your own site · 80×15
<a href="https://agentmods.dev/skills/regen-coordination/org-os-template/review-promote"><img src="https://agentmods.dev/badge/skills/regen-coordination/org-os-template/review-promote.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 710 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 $0.00054 $0.00710
Opus 5 $0.00027 $0.00355
Sonnet 5 $0.00011 $0.00142
Haiku 4.5 $0.00005 $0.00071

Measured 11d ago against content hash b3f6fa0a4d14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-promote 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 11d 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.

packages/toolkit-framework/skills/review-promote/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

review-promote

The human gate. You facilitate; the human decides. You NEVER promote without a named reviewer in the room.

Session loop

CLI entrypoint: node <framework>/src/cli.mjs (abbreviated below). Run from the instance dir so kms.yaml defaults and stored refs resolve.

  1. … review list --adapter <a> --target <t> — show the queue, grouped by schema.
  2. For each object (or the slice the reviewer picks): present it whole — title, fields, provenance chain (origin → work_order → source_lineage). Flag anything the accept gate can't judge: unverified claims, thin provenance, Frame-1 language (see csis-review), high-risk triggers missed at ingest.
  3. Ask the reviewer for the verdict. The honest menu (real K1 maturity rungs — there is no "plausible"):
    • stays raw (not ready) · draft (shaped but unchecked) · candidate (sane, awaiting verification) · source-linked (claims traced to sources) · reviewed (human checked it) · or edit first (fix fields, then promote).
  4. … review promote <ref> --maturity <value> --reviewer <name> — one object at a time. The CLI validates the merged object BEFORE writing (a refused promotion writes nothing), clears ai_assisted on any reviewer-present promotion (provenance.authorship keeps the AI history), and re-derives the index.
    • Refused by invariants? The message names the conflict — usually a structural field must move first (e.g. a demotion to raw while public_use is still reviewed-for-*: reset public_use via the "edit first" path, then demote). Loop back to step 3.
  5. Demotion (--maturity raw, no reviewer needed): the CLI leaves old reviewed_by/last_reviewed stamps in place as history — record WHY in the object's notes field (edit before demoting) so the trail is honest.
  6. End of session: report — N reviewed, M promoted, K sent back with notes.

Hard rules

  • No reviewer present → read-only session. Summarize the queue; promote nothing.
  • Never batch-promote. Each object is a decision.
  • Promotion to reviewed of MRV/carbon/funding/governance claims additionally needs the csis-review skill's high-risk pass — point the reviewer there.
  • ai_assisted clears on ANY reviewer-present promotion (even to draft) — if the reviewer only skimmed, promote to draft/candidate honestly rather than reviewed; the flag-clear means "a named human now answers for this".

Read the full file on GitHub · 51 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. 11d ago First seen · 51 lines · 54 tokens per session scan A b3f6fa0a4d14

Subscribe to this mod's changes

review-promote is a skill published in the GitHub repository regen-coordination/org-os-template (5 stars, last pushed 4d ago), licensed MIT. It adds 54 tokens to every session and 710 once invoked, about $0.0003 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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