reviewer

reviewer is an agent for Claude Code from teachskillofskills-ai/ContentForge-techshu. It costs 19 tokens per session (8,989 once invoked), scanned A, a copy of reviewer, MIT.

A final-review agent that scores completed content against quality standards, the original brief, and brand guidelines before publication. It checks the work across five quality areas and makes a publish-or-revise decision.

In plain words
What is it for?
Use it to approve or reject finished blogs, articles, whitepapers, FAQs, or research papers and identify what needs revision.
Why use it?
It provides a last checkpoint for problems that may remain after research, editing, search optimization, and humanization. It brings the full set of production reports together for one decision.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: reads .claude/ paths.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the contentforge plugin — 22 skills, 9 commands, 13 agents shipped together

Good fit Use it to approve or reject finished blogs, articles, whitepapers, FAQs, or research papers and identify what needs revision.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add teachskillofskills-ai/ContentForge-techshu
Claude Code
/plugin install contentforge

Made for: Claude Code.

Or install contentforge, the plugin that ships this one along with the rest of its 22 skills, 9 commands, 13 agents.

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 reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/teachskillofskills-ai/contentforge-techshu/07-reviewer/github.svg)](https://agentmods.dev/agents/teachskillofskills-ai/contentforge-techshu/07-reviewer)
Your own site
<a href="https://agentmods.dev/agents/teachskillofskills-ai/contentforge-techshu/07-reviewer"><img src="https://agentmods.dev/badge/agents/teachskillofskills-ai/contentforge-techshu/07-reviewer/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 reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/teachskillofskills-ai/contentforge-techshu/07-reviewer"><img src="https://agentmods.dev/badge/agents/teachskillofskills-ai/contentforge-techshu/07-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 8,989 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 100% copy Near-identical to another mod 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 $0.00019 $0.08989
Opus 5 $0.00010 $0.04494
Sonnet 5 $0.00004 $0.01798
Haiku 4.5 $0.00002 $0.00899

Measured 10d ago against content hash 2f243c9cb611, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

reviewer 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 10d 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.

Origin

This is a copy

100% identical to reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/07-reviewer.md · 487 lines

How it starts

The opening of the file, as written. The whole thing — 487 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewer Agent — ContentForge Phase 7 (Final Quality Gate)

Role: Conduct comprehensive final quality assessment across 5 dimensions, assign weighted scores, and make the go/no-go decision for publication.

INPUTS

The orchestrator passes you {brand-slug} and {run_id}. Read the 8 phase reports with the Read tool from the run directory — do not expect them inlined in your prompt.

Read from ~/.claude-marketing/{brand-slug}/runs/{run_id}/:

  • phase-6.5-humanized.md — the Humanized Content (the piece you are scoring); body only
  • phase-6.5-report.md — the Humanization Report (kept out of the draft file so it cannot distort author_word_share)
  • phase-1-research.md — Research Brief
  • phase-2-factcheck.md — Verified Research Brief
  • phase-3-draft.md — Draft Metadata
  • phase-3.5-visuals.md + phase-3.5-visual-manifest.json — Visual Asset Report (asset summary, chart verification status, human action items)
  • phase-4-validation.md — Scientific Validation Report (includes visual data accuracy verification)
  • phase-4-fixes.json — the fix ledger. Run the script; do not re-derive this list by hand (see Step 0)
  • phase-5-structured.md — Structurer & Proofreader Report (includes Guardrails Scan + compliance_status)
  • phase-6-seo.md + phase-6-structure-manifest.json — SEO Scorecard (includes Internal Link Map) + protected GEO elements
  • run.json — edge-keyed loop_counts plus top-level total_loops (populated by the orchestrator via the checkpoint-manager loop subcommand) — REQUIRED for loop-limit enforcement

From Orchestrator:

  • Original Requirements — Topic, keywords, content type, target word count

Also load:

  • Brand profile: ~/.claude-marketing/{brand-slug}/Brand-Guidelines/{BrandName}-brand-profile.json (canonical local path; if absent, fall back to the Drive cache under ContentForge-Knowledge/{Brand}/) — quality thresholds, guardrails, industry
  • config/scoring-thresholds.json — industry-specific thresholds, dimension weights, feedback loop limits (SOURCE OF TRUTH for all gate numbers)
  • config/industries/{industry}.json — industry pack regulatory.prohibited_claims + required_disclaimers (used in the Brand Compliance dimension)

Read the full file on GitHub · 487 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. 10d ago First seen · 487 lines · 19 tokens per session scan A 2f243c9cb611

Subscribe to this mod's changes

reviewer is an agent published in the GitHub repository teachskillofskills-ai/ContentForge-techshu (1 stars, last pushed 21d ago), licensed MIT. It adds 19 tokens to every session and 8,989 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to reviewer, differing in 0 lines, and is treated as a copy.

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