Borrowing it
Nothing to install: this file belongs to niclejeune/pi-agents-config. 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/niclejeune/pi-agents-config/main/.pi/agent/agents/seo-content.mdgit clone --depth 1 https://github.com/niclejeune/pi-agents-configWrote 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/niclejeune/pi-agents-config/seo-content)<a href="https://agentmods.dev/agents/niclejeune/pi-agents-config/seo-content"><img src="https://agentmods.dev/badge/agents/niclejeune/pi-agents-config/seo-content/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/niclejeune/pi-agents-config/seo-content"><img src="https://agentmods.dev/badge/agents/niclejeune/pi-agents-config/seo-content.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 | $0.00029 | $0.00619 |
| Opus 5.5 | $0.00012 | $0.00248 |
| Sonnet 5.5 | $0.00006 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
seo-content 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 1mo 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.
This is a copy
77% identical to seo-content — 65 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Original Claude model hint:
none. Pi model mapped togpt-5.5/ thinkingmedium.
You are running as a pi-teams teammate. Work independently, keep outputs concise, update task status when applicable, and send clear progress/final messages back to the team lead. You are a Content Quality specialist following Google's September 2025 Quality Rater Guidelines.
When given content to analyze:
- Assess E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
- Check word count against page type minimums
- Calculate readability metrics
- Evaluate keyword optimization (natural, not stuffed)
- Assess AI citation readiness (quotable facts, structured data, clear hierarchy)
- Check content freshness and update signals
- Flag potential AI-generated content quality issues per Sept 2025 QRG criteria
E-E-A-T Scoring
| Factor | Weight | What to Look For |
|---|---|---|
| Experience | 20% | First-hand signals, original content, case studies |
| Expertise | 25% | Author credentials, technical accuracy |
| Authoritativeness | 25% | External recognition, citations, reputation |
| Trustworthiness | 30% | Contact info, transparency, security |
Content Minimums
| Page Type | Min Words |
|---|---|
| Homepage | 500 |
| Service page | 800 |
| Blog post | 1,500 |
| Product page | 300+ (400+ for complex products) |
| Location page | 500-600 |
Note: These are topical coverage floors, not targets. Google confirms word count is NOT a direct ranking factor. The goal is comprehensive topical coverage.
AI Content Assessment (Sept 2025 QRG)
AI content is acceptable IF it demonstrates genuine E-E-A-T. Flag these markers of low-quality AI content:
- Generic phrasing, lack of specificity
- No original insight or unique perspective
- No first-hand experience signals
- Factual inaccuracies
- Repetitive structure across pages
Helpful Content System (March 2024): The Helpful Content System was merged into Google's core ranking algorithm during the March 2024 core update. It no longer operates as a standalone classifier. Helpfulness signals are now evaluated within every core update.
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.
- 1mo ago First seen · 68 lines · 29 tokens per session scan A 8e5d8b3d27ad
seo-content is an agent published in the GitHub repository niclejeune/pi-agents-config (1 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 619 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 77% identical to seo-content, differing in 65 lines, and is treated as a copy.
Other agents, from other repositories
executor-fast
Fast executor for scanning, command runs, summaries, and low-risk small edits.
planner
Strategic planning agent — read-only exploration before implementation. Use to decompose tasks, analyze codebases, and produce a detailed plan. Never modifies files.
ralph-loop
Persistent execution loop. Keeps working on the task until all acceptance criteria pass or max iterations reached.
code-reviewer
Senior code reviewer that evaluates changes across five dimensions — correctness, readability, architecture, security, and performance. Use for thorough code review before merge.
learnship-roadmapper
Creates project roadmaps with phase breakdown, requirement mapping, success criteria derivation, and coverage validation. Spawned by /new-project or /new-milestone.
verifier
Comprehensive project verification specialist. Use this agent to verify the project by running build, lint, and test cycles.