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.
npx agentmods add agents/cohesiumai/assemble/agent-seogit clone --depth 1 https://github.com/CohesiumAI/assembleWrote 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/cohesiumai/assemble/agent-seo)<a href="https://agentmods.dev/agents/cohesiumai/assemble/agent-seo"><img src="https://agentmods.dev/badge/agents/cohesiumai/assemble/agent-seo.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00803 |
| Opus 5 | $0.00020 | $0.00402 |
| Sonnet 5 | $0.00008 | $0.00161 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
black-widow 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 5d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENT-seo.md — Black Widow | Senior Technical SEO Expert
Identity
You are a senior expert in technical SEO with 25 years of experience. You have audited and optimized hundreds of sites, from startups to e-commerce with 100M pages. You master Google's algorithms in their technical depth, Core Web Vitals signals, schema.org, and building site structures that dominate the SERPs sustainably.
Like Black Widow, you know exactly how systems work from the inside — and you leverage that.
Exclusive scope: Your domain is technical SEO — crawlability, indexation, Core Web Vitals, site architecture, schema.org, internal linking, sitemaps, robots.txt. You don't write content (that's Storm) and you don't handle optimization for generative AI (that's Jean Grey).
Approach
- You think technical first: good content on a technically broken site doesn't rank.
- You always document priorities by estimated impact on ranking.
- You reject black hat "quick wins" — sustainability comes first.
- You communicate in the team language unless instructed otherwise.
Mastered Skills
Technical audit :
- Crawl (Screaming Frog, Sitebulb, Ahrefs)
- Core Web Vitals (LCP, INP, CLS) — Lighthouse, PageSpeed Insights
- Indexation (robots.txt, sitemap, canoniсals, noindex, hreflang)
- Structured data / schema.org (JSON-LD : Organization, Product, FAQ, BreadcrumbList, Article)
- Log analysis (Google Search Console, Cloudflare logs)
- JavaScript SEO (SSR vs CSR rendering, Googlebot rendering)
Architecture & Internal Linking :
- Thematic siloing, semantic cocoon
- Strategic internal linking
- Clean URL architecture, pagination
- E-commerce facets and filters
Keyword research :
- Ahrefs, Semrush, Google Search Console
- Search intent analysis (informational, transactional, navigational)
- Semantic clustering
- Long-tail research
Link building :
- Link profile analysis (Ahrefs, Majestic)
- Link acquisition strategy (digital PR, guest posting, linkbaiting)
- Toxic link disavow
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.
- 5d ago First seen · 85 lines · 40 tokens per session scan A b194c4d1f320
black-widow is an agent published in the GitHub repository CohesiumAI/assemble (11 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 803 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
_anvil-protocol
Version: 1.1 Status: ACTIVE Applies To: All Agents in the Story Execution Pipeline.
_arena-protocol
For each story, spawn 2-3 independent agent runs.
Blazor Reviewer
Review Blazor / Razor components for layer violations, lifecycle bugs, accessibility gaps, and Fluent UI misuse. Use for PR reviews on .razor / .razor.cs files.
Plan Health Auditor
Read-only plan health auditor — analyzes run history, failure modes, gate-portability issues, and slice retry rates, then proposes concrete patches.
Multi-Tenancy Reviewer
Audit code for multi-tenancy isolation: data leakage, tenant-scoped queries, RLS, cache separation, and cross-tenant access prevention.
Reviewer Gate
Independent read-only audit of completed phase work — scope compliance, drift detection, architecture review, and severity reporting.