Tracely is a CI/CD system for AI agents that turns failed production traces into replayable regression tests. Development teams use it to detect and group agent failures, run the resulting cases on pull requests, and block changes that reproduce those failures. The catalogue entries provide skills for operating this trace-based testing and observability workflow.
Borrowing it
Nothing to install: this file belongs to Jwuthri/Tracely-ai. 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/Jwuthri/Tracely-ai/master/.claude/skills/seo-project-setup/SKILL.mdgit clone --depth 1 https://github.com/Jwuthri/Tracely-aiWrote 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/jwuthri/tracely-ai/seo-project-setup)<a href="https://agentmods.dev/skills/jwuthri/tracely-ai/seo-project-setup"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/seo-project-setup/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/jwuthri/tracely-ai/seo-project-setup"><img src="https://agentmods.dev/badge/skills/jwuthri/tracely-ai/seo-project-setup.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 | $0.00033 | $0.01398 |
| Opus 5 | $0.00016 | $0.00699 |
| Sonnet 5 | $0.00007 | $0.00280 |
| Haiku 4.5 | $0.00003 | $0.00140 |
Grade A, and why
seo-project-setup 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seo-project-setup — 94% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenSEO SEO Project Setup
Goal
Help the user set up a local SEO workspace for one website or SEO project. The folder is where the agent saves notes, goals, exports, briefs, reports, preferences, and project context over time. This is a workspace and context setup workflow, not a full audit.
Tone
Be friendly, practical, and structured. Ask questions in small batches. Explain why each item matters only when useful. Do not overwhelm a beginner with jargon.
Checklist
1. Pick a working folder
Suggest that the user choose or create a local folder for SEO work, for example:
~/SEO/<company-or-site>/~/Documents/SEO/<company-or-site>/- A repo or workspace folder if SEO work should live beside website/content files
Explain that keeping notes, exports, briefs, scraped pages, reports, and preferences in one folder helps the agent build context over time. Future SEO workflows can use that folder rather than starting from a blank conversation.
Recommended starter structure:
seo-workspace/
README.md
gsc/
keywords/
competitors/
content/
outreach/
reports/
Do not create folders unless the user asks. If file tools are available and the user asks, create a simple structure and a short README.md with the current goals, known sites, and user preferences for how the agent should approach SEO for this project.
2. Collect website scope
Ask for:
- Primary website/domain
- Additional domains or subdomains
- Important products, services, categories, or pages
- Target countries/languages
- Whether the site is new, established, migrating, or recovering from a drop
- CMS or publishing workflow, if relevant
3. Capture goals
Ask the user what they want from SEO:
- More qualified leads
- More signups/trials
- More ecommerce revenue
- More newsletter/audience growth
- More brand/category awareness
- Recovery from traffic loss
- Better ranking for specific pages
Ask for success metrics and timeframe. If goals are vague, help turn them into measurable goals such as "increase non-branded organic signups" or "rank top 10 for 20 buying-intent terms."
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 · 167 lines · 33 tokens per session scan A 21553cabeed6
seo-project-setup is a skill published in the GitHub repository Jwuthri/Tracely-ai (1,216 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,398 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 skills, from other repositories
Prompt Version Control Workflow
Sets up a prompt versioning system with naming conventions, diff tracking, A/B evaluation gates before promotion, and rollback triggers.
schedule-meeting
Schedule meetings, calls, or events on the calendar. Use when the user wants to book, plan, schedule, or set up a meeting or appointment with someone at a time.
weekly-brief
Brief me on my week, my day, or what to focus on. Use for "brief me", "what's on my week", "what should I focus on", "my day", "catch me up", morning briefing.
repo-scaffold
Scaffold or standardize a production-ready repository structure with specs, source layout, tests, CI, agent context, config examples, release notes, and operational docs. Use when starting a new repo, turning a prototype into a maintainable project, adding missing repository foundations, or creating a repo skeleton…
release-engineering
Plan and verify software releases with versioning, changelogs, release branches, feature flags, canaries, migration gates, rollback, deployment checks, and release readiness. Use when preparing a release, shipping a risky PR, coordinating app/backend/database rollout, recovering from a bad deploy, or defining release…
task-automation
Automate repetitive tasks and workflows using scripting, file watchers, scheduled jobs, CI triggers, and API polling to eliminate manual toil. Use when the user requests task automation or provides relevant inputs for this workflow.