FLOW SEO Framework
AgriciDaniel/claude-seo
Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.
When a local business wants to check that its public map/local listing is accurate and complete — name, address, category, phone, rating, and review presence.
Install Listing Accuracy Audit
$ npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install unifapi-agent/agents listing-accuracy-audit --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/local-seo-agent/listing-accuracy-audit .claude/skills/listing-accuracy-audit && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "listing-accuracy-audit" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-audit into .claude/skills/listing-accuracy-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-accuracy-audit", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-auditType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install unifapi-agent/agents listing-accuracy-audit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/local-seo-agent/listing-accuracy-audit .agents/skills/listing-accuracy-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "listing-accuracy-audit" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-audit into .agents/skills/listing-accuracy-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-accuracy-audit", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install unifapi-agent/agents listing-accuracy-audit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/local-seo-agent/listing-accuracy-audit .cursor/skills/listing-accuracy-audit && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "listing-accuracy-audit" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-audit into .cursor/skills/listing-accuracy-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-accuracy-audit", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/unifapi-agent/agents.git --path skills/local-seo-agent/listing-accuracy-audit--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install unifapi-agent/agents listing-accuracy-audit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/local-seo-agent/listing-accuracy-audit .gemini/skills/listing-accuracy-audit && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "listing-accuracy-audit" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-audit into .gemini/skills/listing-accuracy-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-accuracy-audit", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install unifapi-agent/agents listing-accuracy-auditInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/local-seo-agent/listing-accuracy-audit .github/skills/listing-accuracy-audit && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "listing-accuracy-audit" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-audit into .github/skills/listing-accuracy-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-accuracy-audit", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install unifapi-agent/agents listing-accuracy-audit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/local-seo-agent/listing-accuracy-audit .opencode/skills/listing-accuracy-audit && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "listing-accuracy-audit" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/local-seo-agent/listing-accuracy-audit into .opencode/skills/listing-accuracy-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "listing-accuracy-audit", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
listing-accuracy-audit- GitHub stars
- 589
- Token cost
- ~2.4k tokens
- SKILL.md length
- 922 words
- Files
- 3 (incl. references)
- Skills in repo
- 47
- Repo updated
- First seen
- Licence
- MIT
At a glance
When a local business wants to check that its public map/local listing is accurate and complete — name, address, category, phone, rating, and review presence.
- Works in 5 steps: Establish the source of truth —… → Pull the public listing via maps/search… → Compare field by field against the… → …
- Tasks that involve Local SEO
- SKILL.md covers Use UnifAPI for live evidence, Workflow, Output: field table +… and Guardrails, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Listing Accuracy Audit is an agent skill from unifapi-agent/agents. When a local business wants to check that its public map/local listing is accurate and complete — name, address, category, phone, rating, and review presence. Also use on "is my Google listing correct," "NAP consistency," "listing audit," "check my business profile," "wrong address on Google," "missing phone number," "listing accuracy," or "why does my listing look wrong." Reads public listing data only — read-only research.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `README.md` and `references/listing-checklist.md`).
It sits in Marketing & SEO, covering Local SEO. The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.
When your agent uses it
- Tasks that involve Local SEO
Example prompts
- “is my Google listing correct,”
- “NAP consistency,”
- “listing audit,”
- “/listing-accuracy-audit”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Establish the source of truth — required. Get the business's correct name, address, primary + secondary category, phone, website, and…
- Pull the public listing via maps/search / local/search as it appears on the map/local result. Capture place_id; loop the business name…
- Compare field by field against the checklist below, assigning each field a status (pass / fix / gap) and an impact rating (critical / high…
- Confirm discoverability with seo/serp: does the listing surface for the business's own name + city? If it doesn't, that finding leads the…
- Order by impact. Sort findings by impact rating so the operator fixes the rank-and-trust killers first, not the cosmetics.
What it can do on your machine
Read from SKILL.md and the folder at commit fb53247. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Listing Accuracy Audit loads about 2.4k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 922 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 922 words, ~2,442 tokens.
Download SKILL.mdSave it as
.claude/skills/listing-accuracy-audit/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- listing-accuracy-audit
- description
- When a local business wants to check that its public map/local listing is accurate and complete — name, address, category, phone, rating, and review presence. Also use on "is my Google listing correct," "NAP consistency," "listing audit," "check my business profile," "wrong address on Google," "missing phone number," "listing accuracy," or "why does my listing look wrong." Reads public listing data only — read-only research.
- license
- MIT
- metadata.author
- UnifAPI
- metadata.version
- 1.0.0
Listing Accuracy Audit
You are a local-listing auditor. A wrong category, a stale phone number, or a missing address quietly suppresses local-pack rank and sends ready-to-buy customers to a competitor. This skill reads a business's public map/local listing field by field and flags where the details are inconsistent, incomplete, or off from what they should be — read-only.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
You cannot audit a listing from memory — you have to read the live record exactly as a customer sees it, field by field, and confirm it actually surfaces. Use the unifapi skill to connect (OAuth MCP), then call:
- The listing record —
maps/search,local/search— read the public listing field by field:name,address,category(primary + secondary),phone,website,hours,rating,review_count, andplace_id. Resolve to a singleplace_idfirst so the audit targets one canonical record. Loop the query (the business name from a few nearby search points) to catch duplicate pins — more than one distinctplace_idfor the same real business is itself a Critical finding. - Discoverability check —
seo/serp— run the business's ownname + cityquery and confirm the listing/site actually surfaces. A wrong, suppressed, or missing listing won't appear for its own name — and that outranks every field-level finding, because no field is worth fixing on a record customers can't find.seo/serpalso exposes competing pins occupying the brand query.
UnifAPI reads public data only — it never edits or claims the listing. Keep any billing metadata so the output can state record cost.
Workflow
- Establish the source of truth — required. Get the business's correct
name,address, primary + secondarycategory,phone,website, andhoursfrom the operator (or its website). Without a source of truth there is nothing to audit against; ask before pulling data. (Read.agents/product-marketing.md/.claude/product-marketing.mdfirst if it exists.) - Pull the public listing via
maps/search/local/searchas it appears on the map/local result. Captureplace_id; loop the business name across a couple of nearby search points — if more than oneplace_idresolves to the business, that duplication is a high-impact finding. - Compare field by field against the checklist below, assigning each field a status (pass / fix / gap) and an impact rating (critical / high / medium / low) using the rubric.
- Confirm discoverability with
seo/serp: does the listing surface for the business's ownname + city? If it doesn't, that finding leads the report — it outranks every field-level issue. - Order by impact. Sort findings by impact rating so the operator fixes the rank-and-trust killers first, not the cosmetics.
Field checklist + impact rubric
Each field is rated by how much it moves local rank and customer trust:
| Field | Pass condition | Common failure | Impact if wrong |
|---|---|---|---|
| Name | Exact real name, no stuffed keywords | "Joe's Plumbing - Best Emergency Plumber Austin" | Critical (guideline violation → suspension risk) |
| Address | Single canonical address, no duplicate pins | Two pins, old suite number | Critical (splits rank, misroutes customers) |
| Primary category | Most specific accurate category | Generic "Contractor" vs. "Plumber" | Critical (gates which queries the listing is eligible for) |
| Secondary categories | Relevant additional categories present | None set | High (lost query eligibility) |
| Phone | Correct local number matching the website | Tracking/stale number, mismatched NAP | High (NAP inconsistency, lost calls) |
| Website | Resolves, matches the business | Missing or wrong domain | High |
| Hours | Present and current | Blank or "permanently closed" in error | High (false "closed" suppresses clicks) |
| Reviews present | Has reviews; rating reflects them | Zero reviews | High (prominence + trust) |
| Rating | Consistent with review body | — | Medium |
Set impact as: Critical = suspension risk or rank-blocking (name stuffing, duplicate address, wrong primary category); High = lost eligibility, NAP inconsistency, or trust gap; Medium/Low = polish. Full per-field detail and the NAP-consistency method are in references/listing-checklist.md.
Show full SKILL.md (310 more words)Show less
Output: field table + prioritized fixes
# Listing Accuracy Audit — <business> — <date>
Resolved place_id: <…> · duplicate pins: <none / list>
## Field table
| Field | Listing value | Expected (source of truth) | Status | Impact | Note |
| ---------------- | ------------------------------------ | -------------------------- | ------ | -------- | ------------------------------------ |
| Name | Joe's Plumbing - Best Austin Plumber | Joe's Plumbing | Fix | Critical | Keyword-stuffed; guideline violation |
| Primary category | Contractor | Plumber | Fix | Critical | Blocks "plumber" query eligibility |
| Phone | (512) 555-0148 | (512) 555-0190 | Fix | High | Mismatch vs. website footer |
| Reviews | 0 reviews | — | Gap | High | No reviews → low prominence + trust |
| Address | 12 Main St | 12 Main St | Pass | — | — |
## Prioritized fixes (Critical → High → Medium → Low)
- One line per Fix/Gap row with the corrective action the operator's team would take.
## Discoverability
- Surfaces for "<name> <city>" on seo/serp? yes/no · duplicate-pin flag if found.
Every value cited to the public listing record it came from. Record cost consumed (or best estimate).Worked example
Source of truth: "Joe's Plumbing", 12 Main St Austin, primary category Plumber, phone (512) 555-0190.
local/searchname reads "Joe's Plumbing - Best Austin Plumber" → Fix / Critical (keyword stuffing risks suspension, adds no rank).- Primary
categoryis "Contractor" → Fix / Critical (the single biggest lever; it gates eligibility for "plumber" queries — pairs directly with a relevance gap fromlocal-pack-audit). phoneon the listing is (512) 555-0148, website footer says (512) 555-0190 → Fix / High (NAP inconsistency).- Zero
review_count→ Gap / High. seo/serpfor "Joe's Plumbing Austin" surfaces the listing #1, no duplicate pin → discoverability OK.
Verdict: two Critical fixes (de-stuff name, set primary category to Plumber) before anything else; the category fix likely resolves a missing-from-pack cell. Reads: 1 listing + 1 SERP.
Guardrails
- Read-only ("eyes, not hands"). Public data only. It identifies what to fix; it never edits, claims, or verifies a Google Business Profile or submits a change. The operator's own team makes any corrections.
- Confirmed vs inferred. Public listing data can lag the dashboard view — report observed fields as the public snapshot, label anything without a source-of-truth value "unverified" rather than asserting it wrong, and have the operator confirm against their own profile before acting.
- Dated snapshots. Stamp the audit with the date and search points; re-running is the only way to confirm a fix landed.
- Don't recommend manipulation. Flag name stuffing and duplicate/keyword tactics as risks to remove, never as fixes to add. Recommendations align with platform guidelines.
References
- references/listing-checklist.md — full per-field pass conditions, the NAP-consistency method, duplicate-pin detection, and the impact rubric.
Related Skills
- local-pack-audit (Local SEO): shows where the business ranks in the local pack for its target queries — a wrong listing is often the cause behind a missing-from-pack cell.
- local-competitor-scan (Local SEO): profiles the competitors the listing is up against.
- unifapi: the shared data skill — connect MCP and discover the operations above.
© unifapi-agent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in skills/local-seo-agent/listing-accuracy-audit of unifapi-agent/agents.
- SKILL.md
- README.md
- references/listing-checklist.md
Open the folder on GitHubat commit fb53247
Compare with similar skills
Listing Accuracy Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Listing Accuracy Audit this skillunifapi-agent/agents | 589 | — | ~2.4k | Automated safety check: Pass | MIT | |
| FLOW SEO FrameworkAgriciDaniel/claude-seo | 19k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Google Mapscablate/mcp-google-map | 469 | — | ~909 | Automated safety check: Pass | MIT | |
| Google Maps Local SEOcablate/mcp-google-map | 469 | — | ~633 | Automated safety check: Pass | MIT | |
| Google Maps Travel Planningcablate/mcp-google-map | 469 | — | ~710 | Automated safety check: Pass | MIT | |
| SEO Project Setuppetera2c/simple-table | 229 | 2 repos | ~1.5k | Automated safety check: Pass | MIT |
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Questions about Listing Accuracy Audit
What does Listing Accuracy Audit do?
When a local business wants to check that its public map/local listing is accurate and complete — name, address, category, phone, rating, and review presence. Listing Accuracy Audit is an agent skill from unifapi-agent/agents. When a local business wants to check that its public map/local listing is accurate and complete — name, address, category, phone, rating, and review presence.
When should I use Listing Accuracy Audit?
Listing Accuracy Audit fits situations like: tasks that involve Local SEO.
How do I install Listing Accuracy Audit in Claude Code?
Run `npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a claude-code`. Or copy the skill folder (skills/local-seo-agent/listing-accuracy-audit in unifapi-agent/agents) into .claude/skills/listing-accuracy-audit in your project. Claude Code loads it when a task matches its description.
How do I install Listing Accuracy Audit in Codex?
Run `npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a codex`. Or copy the skill folder (skills/local-seo-agent/listing-accuracy-audit in unifapi-agent/agents) into .agents/skills/listing-accuracy-audit in your project. Codex loads it when a task matches its description.
Can I use Listing Accuracy Audit in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add unifapi-agent/agents --skill listing-accuracy-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/listing-accuracy-audit, .gemini/skills/listing-accuracy-audit, .github/skills/listing-accuracy-audit and .opencode/skills/listing-accuracy-audit in your project.
What does Listing Accuracy Audit need to run?
SKILL.md names no scripts, command-line tools or credentials: Listing Accuracy Audit is instructions for the agent only.
Does Listing Accuracy Audit access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Listing Accuracy Audit safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Listing Accuracy Audit use?
Listing Accuracy Audit is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Listing Accuracy Audit use?
About 2.4k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Listing Accuracy Audit?
Skills that share tags, products or a category with Listing Accuracy Audit: FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars), Google Maps (cablate/mcp-google-map, 469 stars), Google Maps Local SEO (cablate/mcp-google-map, 469 stars) and Google Maps Travel Planning (cablate/mcp-google-map, 469 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Listing Accuracy Audit?
unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 589 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.
Source: unifapi-agent/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.