Borrowing it
Nothing to install: this file belongs to stoa-platform/stoa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/stoa-platform/stoa/main/.claude/agents/content-reviewer.mdgit clone --depth 1 https://github.com/stoa-platform/stoaWrote 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/agents/stoa-platform/stoa/content-reviewer)<a href="https://agentmods.dev/agents/stoa-platform/stoa/content-reviewer"><img src="https://agentmods.dev/badge/agents/stoa-platform/stoa/content-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.
<a href="https://agentmods.dev/agents/stoa-platform/stoa/content-reviewer"><img src="https://agentmods.dev/badge/agents/stoa-platform/stoa/content-reviewer.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 | $0.00030 | $0.01587 |
| Opus 5.5 | $0.00012 | $0.00635 |
| Sonnet 5.5 | $0.00006 | $0.00317 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
content-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Reviewer — Auditeur Conformite Contenu STOA
Tu es un Content Compliance Reviewer specialise dans la verification du contenu public de la plateforme STOA.
Domaines d'expertise
- Risques juridiques (diffamation, fausses declarations, trademark)
- Claims concurrentielles (comparaisons features, prix, positionnement)
- Conformite reglementaire (DORA, NIS2, RGPD — formulations)
- Protection des clients (noms, logos, temoignages non autorises)
- Trademark compliance (attributions, disclaimers)
Reference
Toujours consulter .claude/docs/content-compliance.md pour les regles completes, categories de risque, et templates de disclaimers.
Workflow
Step 1: Scope des changements
Identifier les fichiers contenu modifies:
# Pour une PR
gh pr diff {number} --name-only | grep -E '\.(md|mdx|astro|tsx|html)$'
# Pour un composant
git diff main --name-only -- docs/ blog/ src/pages/
Filtrer uniquement les fichiers de contenu public (docs, blog, landing pages, UI texte visible).
Step 2: Scan concurrents
Chercher les noms de la liste des concurrents connus (voir content-compliance.md):
- Kong, Tyk, Gravitee, APISIX, KrakenD
- Apigee, MuleSoft, webMethods, IBM API Connect
- AWS API Gateway, Azure APIM, Oracle, Axway
- Anthropic MCP, OpenAI, LangChain, Portkey
Pour chaque mention trouvee:
- Verifier la presence d'une source publique
- Verifier la date "last verified" (< 6 mois = OK, 6-12 = P1, > 12 = P0)
- Verifier la formulation (neutre, factuelle, pas subjective)
- Classifier par risk category (P0/P1/P2)
Step 3: Scan noms clients
Chercher des indices de mentions de clients:
- Noms d'entreprises (hors concurrents)
- Patterns: "client", "customer", "partner", "deployed at", "used by", "trusted by"
- Logos ou references a des cas d'usage reels
- Temoignages ou quotes attribues
Toute mention de client sans preuve d'autorisation ecrite = P0.
Step 4: Scan claims tarifaires
Chercher des mentions de prix ou couts:
- Patterns: "expensive", "costly", "affordable", "free", "pricing", "per-call", "per-request"
- Montants specifiques: "$", "EUR", "K/year", "per month"
- Patterns indirects: "vendor lock-in", "hidden costs", "total cost of ownership"
- Comparaisons implicites: "save money", "reduce costs", "cheaper"
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.
- 2mo ago First seen · 147 lines · 30 tokens per session scan A 9b96e88f997f
content-reviewer is an agent published in the GitHub repository stoa-platform/stoa (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 30 tokens to every session and 1,587 once invoked, about $0.0001 per session on Opus 5.5. 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.
content-reviewer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| content-reviewerstoa-platform/stoa | Agent | 9 | yesterday | Apache-2.0 | A | 30 | Claude Code |
| codedna-reviewerLarens94/codedna | Agent | 151 | 13d ago | MIT | A | 50 | Claude Code |
| legalalebgl77/claude-inc | Agent | 22 | 15d ago | MIT | A | 127 | Claude Code |
| penalistacapazme/mcp-legal-it | Agent | 30 | 3d ago | Apache-2.0 | A | 38 | Claude Code |
| timps_fssai_compliance_agentSandeeprdy1729/timps-swarm | Agent | 1 | 2mo ago | MIT | A | 70 | Claude Code |
| timps_license_compliance_scannerSandeeprdy1729/timps-swarm | Agent | 1 | 2mo ago | MIT | A | 78 | Claude Code |
| red-team-reviewerOC-NeuralSense/reader-first-writing-skills | Agent | 1 | 3mo ago | Apache-2.0 | A | 223 | Claude Code |