Agent skill · Audited from source
Fennecseo Audit
skill · berabuddies/SemiaApache-2.0 licenceAudited 19 Oct 2026 · source ad9eea27f661
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit ad9eea27f661 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Uses Fennec SEO Auditor results to audit a URL. Invoke when user wants a quick on‐page/technical SEO health check or to verify favicon/meta/schema and GEO readiness.
Cite
Cite this page
ModelsAtlas. “Fennecseo Audit (berabuddies/Semia)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/berabuddies/fennecseo-audit
Trust audit
Audit 0.4.1 · source read 19 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha ad9eea27f661 · 19 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisherberabuddies GitHub organizationOwner of the repository this skill is read from
- Source folderberabuddies/Semia/tests/fixtures/skills/2winter-dev/fennecseo-auditThe exact folder we audited
- LicenceApache-2.0As the repository states it
- Commit pinned for this verdictad9eea27f661A new audit runs when the source changes
- Repository statusNot archivedLast push 47 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Uses Fennec SEO Auditor results to audit a URL. Invoke when user wants a quick on‐page/technical SEO health check or to verify favicon/meta/schema and GEO readiness.
--- name: "fennec-seo-audit-en" description: "Uses Fennec SEO Auditor results to audit a URL. Invoke when user wants a quick on‐page/technical SEO health check or to verify favicon/meta/schema and GEO readiness." --- # Fennec SEO Audit Skill (with Fennec SEO Auditor Extension) This Skill is designed to work together with the Chrome extension **Fennec SEO Auditor** to run a quick SEO health check on any given page. Typical use cases: - Get a fast overview of a page’s SEO basics (title, meta, headings, canonicals, etc.) - Verify favicon, Open Graph and structured data exposure - Spot common technical issues (HTTP status code, redirects, indexability, robots rules) - Judge whether a page is “GEO‐ready” as a candidate source for RAG / LLM answers > Chrome extension link: > https://chromewebstore.google.com/detail/fennec-seo-auditor/fifppiokpmlgceojhfdjbjjapbephcdo --- ## When to invoke this Skill Use `fennec-seo-audit-en` when: - The user provides a URL and asks for a **quick SEO audit / health check** - The user wants to confirm favicon / meta / Open Graph / structured data are implemented correctly - A new article / landing page has just been published and needs a basic SEO / GEO review - The user wants to use a real page as a **GEO example**, to see how well it exposes: - indexability signals - semantic structure - brand / entity signals Avoid using this Skill as: - A full‐site crawler or large‐scale technical audit (it’s better suited for spot checks) - A replacement for log analysis or server‐level diagnostics --- ## Human steps (what the user does with the browser) 1. Install and enable the **Fennec SEO Auditor** Chrome extension Link: `https://chromewebstore.google.com/detail/fennec-seo-auditor/fifppiokpmlgceojhfdjbjjapbephcdo` 2. Open the target page you want to audit (e.g. a blog post, product detail page, homepage, documentation page) 3. Click the **Fennec SEO Auditor** icon in the browser toolbar: - Run the standard audit (On‐page / HTML / Links / Images, etc.) - Wait for the extension to finish and show the report 4. Share the key parts of the report with the assistant: - Either copy key findings as text - Or summarize / extract the main issues - Screenshots are fine too if the platform supports them The assistant will then interpret the audit and turn it into a clear action plan. --- ## Assistant responsibilities when this Skill is invoked When `fennec-seo-audit-en` is triggered, the assistant should: 1. Make sure the user has run Fennec SEO Auditor on the target URL (and guide them if not). 2. Parse and structure the audit output, covering at least: - **Page basics**: URL, title, meta description, H1/H2, main intent - **Technical layer**: HTTP status, canonical, index directives, robots and sitemap hints - **Content & readability**: length, keyword coverage, duplication, thin or low‐value sections - **Media & links**: image ALT attributes, internal link structure, external links / broken links - **Brand & GEO signals**: favicon, brand / organization info, logo exposure, Schema.org markup 3. Highlight **high‐priority issues** that are likely to affect: - indexability and crawling - CTR and snippet quality - perceived trust / authority 4. Provide concrete, implementable recommendations for each important issue, not just a restatement of the report. 5. Add a **GEO / RAG perspective**, for example: - Is the page easy for a retrieval system to index and match semantically? - Are there clear entity signals (Organization / Person / Product, etc.) that help LLMs trust this source? - Does the page risk being treated as “thin / spammy / boilerplate” content? --- ## Recommended output structure When responding based on Fennec SEO Auditor results, the assistant should aim for a structure like: 1. **Page overview** - URL, title, H1, target intent / query 2. **Issue summary (with priorities)** - High / Medium / Low priority list 3. **Detailed findings and fixes** - Meta & snippets (title, description, OG tags) - Content & headings - Internal links & anchors - Technical / indexability - Media (images, ALT text) - Structured data & entity signals 4. **GEO / RAG perspective** - How well this page can be retrieved, re‐ranked and cited by LLMs - Additional suggestions (e.g. add FAQ schema, clarify sections, add data / sources) --- ## Notes and constraints - The assistant **does not** directly control the browser or extension; it relies on the user to run Fennec and share the output. - Recommendations should balance: - Classic SEO (crawlability, rankings, CTR, readability) - GEO / LLM needs (structured signals, semantic clarity, trustworthy sources, clear entities) - The assistant should avoid generic advice and tie recommendations back to: - the user’s actual page - the specific issues reported by Fennec SEO Auditor.
Excerpt, first 4,937 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit ad9eea2
git clone https://github.com/berabuddies/Semia git -C Semia checkout ad9eea27f661
The author documents no install command, so this uses the repository directly. Our verdict covers commit ad9eea27f661 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
ad9eea27f661
Similar skills
All security skills →berabuddies/Semia
Native video analysis using Google Gemini API. Upload and analyze video files — describe scenes, extract text/UI, answer questions about content, transcribe speech, identify objects and actions. Use when: (1) User sends…
berabuddies/Semia
Build a personalized team of AI agent personas for OpenClaw. Interviews the user, analyzes their workflow, then creates specialized agents with distinct personalities, adaptive model routing (Fast/Think/Deep/Strategic),…
berabuddies/Semia
Automatically logs into email accounts (Gmail, Outlook, QQ Mail, etc.) and generates daily email summaries. Use when the user wants to get a summary of their emails, check important messages, or create daily email…
berabuddies/Semia
Semia, security audit for AI agent skills.
berabuddies/Semia
Audit an agent skill with Semia inside Claude Code. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", or audit a skill/plugin for behavior risk.
gavrielc/nanoclaw
A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's…
Questions about Fennecseo Audit
What does the Fennecseo Audit skill do?
Is Fennecseo Audit safe to install?
What can Fennecseo Audit access on my machine?
How current is this page?
Sources
- github.com/berabuddies/Semia/tree/main/tests/fixtures/skills/2wi — the audited source at commit ad9eea27f661 and every finding aboveObserved · 19 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Fennecseo Audit skill do?
- Is Fennecseo Audit safe to install?
- What can Fennecseo Audit access on my machine?