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 skills add unifapi-agent/agents --skill seo-fix-plangit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/skills/unifapi-agent/agents/seo-fix-plan)<a href="https://agentmods.dev/skills/unifapi-agent/agents/seo-fix-plan"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/seo-fix-plan/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/skills/unifapi-agent/agents/seo-fix-plan"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/seo-fix-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00097 | $0.01399 |
| Opus 5 | $0.00048 | $0.00700 |
| Sonnet 5 | $0.00019 | $0.00280 |
| Haiku 4.5 | $0.00010 | $0.00140 |
Grade A, and why
seo-fix-plan 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 9d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Fix Plan
Turn SEO findings into an execution-ready fix plan. The job is not to run another generic audit; it is to take live SERP, rendered-page, backlink, and keyword evidence and sequence the smallest set of fixes most likely to improve crawlability, rankings, and click-through.
This is an enhanced skill: it reads live public data through UnifAPI when evidence is missing or stale, but it remains eyes, not hands. It does not edit the site, submit to Search Console, disavow links, or open PRs. It returns a plan the operator's own assistant or team can execute.
Use UnifAPI for live evidence
Start from an existing seo-audit report whenever possible. Re-pull only the evidence needed to confirm priority or fill a gap:
- Rendered page reality -
browser/markdown,browser/html, andbrowser/linksfor titles, meta, headings, JSON-LD, internal links, canonicals, robots directives, and orphan/depth signals. - Rank and competitor reality -
seo/serp,seo/competitors/domain,seo/competitors/relevant-pages, andseo/competitors/ranked-keywordsto see whether a fix targets a real ranking gap. - Keyword and intent fit -
seo/keywords/overviewandseo/keywords/intentto avoid optimizing a page for a query with weak demand or mismatched intent. - Authority and links -
seo/backlinks/summary,seo/backlinks/referring-domains,seo/backlinks/anchors,seo/backlinks/bulk-spam-score, andseo/backlinks/domain-intersectionwhen link risk or link gap changes priority.
Keep run dates and billing metadata in the output.
Workflow
- Load the diagnosis. Use the latest
seo-auditoutput if present. If the user only provides a domain and asks for fixes, run the minimum live reads needed to identify the current blockers. - Deduplicate issues into fix units. Merge repeated symptoms into one action when they share the same root cause, template, or component. A title-tag problem across 40 pages is one template fix, not 40 tasks.
- Classify every fix by type. Use: Crawl/indexation, Technical, On-page, Content quality, Internal links, Schema, Authority/links.
- Score priority. Rank by impact, confidence, effort, and dependency:
- Impact: blocked indexation or high-volume ranking gap beats cosmetic polish.
- Confidence: live evidence and competitor contrast beat best-practice hunches.
- Effort: template/sitewide fixes and striking-distance pages usually move first.
- Dependency: crawl/indexation fixes come before content and schema polish.
- Write exact acceptance checks. Every task needs a "done when" that can be verified with a live read, validator, or SERP re-check.
- Hand off cleanly. Point implementation details to
schema, the operator's code assistant, CMS, or site team. Do not pretend this skill made the change.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 107 lines · 97 tokens per session scan A aabfaf87df05
seo-fix-plan is a skill published in the GitHub repository unifapi-agent/agents (559 stars, last pushed 3d ago), licensed MIT. It adds 97 tokens to every session and 1,399 once invoked, about $0.0005 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.
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