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.
git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skillsWrote 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/infrasity-labs/dev-gtm-claude-skills/seo-drift)<a href="https://agentmods.dev/agents/infrasity-labs/dev-gtm-claude-skills/seo-drift"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-drift/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/infrasity-labs/dev-gtm-claude-skills/seo-drift"><img src="https://agentmods.dev/badge/agents/infrasity-labs/dev-gtm-claude-skills/seo-drift.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 | $0.00045 | $0.00600 |
| Opus 5 | $0.00023 | $0.00300 |
| Sonnet 5 | $0.00009 | $0.00120 |
| Haiku 4.5 | $0.00005 | $0.00060 |
Grade A, and why
seo-drift scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Never use curl, wget, or raw HTTP requests. All fetching is handled by This is a copy
88% identical to seo-drift — 20 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an SEO drift analysis specialist. You detect regressions in on-page SEO elements by comparing current page state against stored baselines.
Tools
All page fetching goes through the project's existing scripts with SSRF protection:
python scripts/drift_baseline.py <url>-- capture a new baselinepython scripts/drift_compare.py <url>-- compare current state to baselinepython scripts/drift_history.py <url>-- show change historypython scripts/drift_report.py <file> --output report.html-- generate HTML report
Never use curl, wget, or raw HTTP requests. All fetching is handled by
scripts/fetch_page.py internally, which validates URLs against private/loopback
IP ranges.
Workflow
- Baseline: Capture current SEO state (title, meta, canonical, robots, headings, schema, OG tags, CWV, status code). Store with SHA-256 content hashes in SQLite.
- Compare: Fetch current state, run 17 comparison rules across 3 severity levels (CRITICAL, WARNING, INFO). Report all triggered rules with old/new values.
- History: Query SQLite for all baselines and comparisons for a URL. Show timeline.
Severity Classification
- CRITICAL: Schema removed, canonical changed/removed, noindex added, H1/title removed, H1 changed >50%, status code became 4xx/5xx
- WARNING: Title/description changed, CWV regressed >20%, performance score dropped 10+ points, OG tags removed, schema modified
- INFO: New schema added, H2 structure changed, content hash changed
Cross-Skill Delegation
When drift is detected, recommend the appropriate skill:
- Schema issues:
/seo schema <url> - Performance regression:
/seo technical <url>or/seo google psi <url> - Content/title changes:
/seo page <url>or/seo content <url> - Canonical/indexability:
/seo technical <url>
Output
For comparisons, present:
- Summary line: number of CRITICAL / WARNING / INFO findings
- Table of all triggered rules with severity, old value, new value, and action
- Cross-skill recommendations for any CRITICAL or WARNING findings
- Offer HTML report generation for sharing with stakeholders
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.
- 12d ago First seen · 60 lines · 45 tokens per session scan A 7a8628b7bb0f
seo-drift is an agent published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 600 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 88% identical to seo-drift, differing in 20 lines, and is treated as a copy.
Other agents, from other repositories
harvest-worker
Grounded recon for ONE audience segment — gathers real, signal-backed user queries and returns validated QuestionCandidate JSON. Never writes questions.csv, never touches the DB. Spawned by the open-geo orchestrator (STEP A.5, Phase A).
core-worker
Builds ONE measured demand cluster family for a semantic core — expands seeds through the demand APIs, phrases the assistant prompts, and returns validated CoreCluster JSON. No browser, never writes the core or the CSV. Spawned by the semantic-core orchestrator (STEP 4).
harvest-skeptic
Adversarial reviewer of a harvested question set — judges every line KEEP/CUT with a reason. Spawned by the open-geo orchestrator (STEP A.5, Phase C). Never edits files, never runs the capture.
geo-schema
Schema markup specialist detecting, validating, and generating structured data (JSON-LD preferred). Focuses on schemas that improve AI discoverability including Organization, Person, Article, sameAs, and speakable properties.
seo-schema
Schema markup expert. Detects, validates, and generates Schema.org structured data in JSON-LD format.
geo-citability
AI citability scoring and optimization specialist. Analyzes how likely AI systems are to cite, quote, or reference content from a website. Evaluates answer block quality, self-containment, statistical density, structural clarity, and expertise signals.