Editorial QA
rampstackco/claude-skills
Pre-publish QA framework for content. An agent skill from rampstackco/claude-skills.
Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete.
Install AI Content Audit
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-content-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-content-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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-content-audit .claude/skills/ai-content-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 "ai-content-audit" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-audit into .claude/skills/ai-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-content-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/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-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 mohitagw15856/pm-claude-skills --skill ai-content-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-content-audit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-content-audit .agents/skills/ai-content-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 "ai-content-audit" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-audit into .agents/skills/ai-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-content-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 mohitagw15856/pm-claude-skills --skill ai-content-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-content-audit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-content-audit .cursor/skills/ai-content-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 "ai-content-audit" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-audit into .cursor/skills/ai-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-content-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/mohitagw15856/pm-claude-skills.git --path skills/ai-content-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 mohitagw15856/pm-claude-skills --skill ai-content-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-content-audit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-content-audit .gemini/skills/ai-content-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 "ai-content-audit" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-audit into .gemini/skills/ai-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-content-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 mohitagw15856/pm-claude-skills ai-content-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 mohitagw15856/pm-claude-skills --skill ai-content-audit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-content-audit .github/skills/ai-content-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 "ai-content-audit" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-audit into .github/skills/ai-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-content-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 mohitagw15856/pm-claude-skills --skill ai-content-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 mohitagw15856/pm-claude-skills ai-content-audit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-content-audit .opencode/skills/ai-content-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 "ai-content-audit" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-content-audit into .opencode/skills/ai-content-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-content-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
ai-content-audit- GitHub stars
- 1.4k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 716 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete.
- Works in 5 steps: Information density — the core test:… → Structural monoculture — the same… → Hedged voicelessness — "it's important… → …
- Asked to find slop in a content library
- SKILL.md covers What This Skill Produces, Required Inputs, Detection Method and The Quality Gate (prevention), plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Content Audit is an agent skill from mohitagw15856/pm-claude-skills. Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete. Use when asked to find slop in a content library, audit AI-written content quality, explain why content engagement or rankings dropped after scaling with AI, or set a quality bar for AI-assisted publishing. Produces an audited inventory with per-piece verdicts, the detection signals used, a triage plan, and a publishing quality gate that prevents recurrence…
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Content marketing, Quality gates and Static sites and blogs. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- Asked to find slop in a content library
- Audit AI-written content quality
- Explain why content engagement
- Rankings dropped after scaling with AI
Example prompts
- “/ai-content-audit”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Information density — the core test: delete every sentence that any competitor could have written, and measure what's left. Slop survives…
- Structural monoculture — the same skeleton repeating across pieces (intro-restating-the-title → 5 H2s → "in conclusion"); listicles whose…
- Hedged voicelessness — "it's important to note", "in today's fast-paced world", both-sides-ism on questions the brand should have a stance…
- Fluency without grounding — claims with no source, stats with no year, "studies show" with no study; internally contradictory sections…
- Reader evidence, where data exists — engagement collapse relative to the library's pre-AI baseline, rising pogo-sticking, ranking decay…
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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.
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
AI Content Audit loads about 1.5k tokens when it runs. Until then it costs about 165 tokens; SKILL.md has 716 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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 716 words, ~1,460 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-content-audit/SKILL.md (or your agent's skills folder).- name
- ai-content-audit
- description
- Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete. Use when asked to find slop in a content library, audit AI-written content quality, explain why content engagement or rankings dropped after scaling with AI, or set a quality bar for AI-assisted publishing. Produces an audited inventory with per-piece verdicts, the detection signals used, a triage plan, and a publishing quality gate that prevents recurrence. For a single article's AI-citability use aeo-optimizer; for the strategy itself use content-calendar or seo-content-brief.
AI Content Audit Skill
Teams that scaled content with AI are discovering the bill: libraries full of fluent, structurally identical, information-free pieces that readers bounce off, search engines quietly demote, and — worst — that erode the trust the good content earned. This skill audits the library for slop with named signals, triages it, and installs the gate that stops the refill.
What This Skill Produces
- An audited inventory with per-piece verdicts: keep / enrich / rewrite / delete-and-redirect
- The detection signals found, quoted — so verdicts are checkable, not vibes
- A triage plan sequenced by traffic and trust impact
- A publishing quality gate for AI-assisted content going forward
Required Inputs
Ask for (if not already provided):
- The corpus — pieces or URLs to audit (or a sample; state the sampling), with publish dates
- Performance data if available — traffic, engagement, rankings over time (the audit works without it, but verdicts get sharper)
- What the content is for — SEO, docs, thought leadership, support deflection (the quality bar differs)
- Production context — when AI-assisted publishing started, at what volume (the before/after seam is diagnostic gold)
Detection Method
Slop isn't "AI wrote it" — it's content with nothing inside. Audit each piece for the signals, quoting instances:
- Information density — the core test: delete every sentence that any competitor could have written, and measure what's left. Slop survives at <20%. Look for: zero proprietary data, zero named examples, zero opinions with an owner, zero specifics a reader could act on.
- Structural monoculture — the same skeleton repeating across pieces (intro-restating-the-title → 5 H2s → "in conclusion"); listicles whose items are definitions, not judgments; FAQ sections answering questions nobody asked.
- Hedged voicelessness — "it's important to note", "in today's fast-paced world", both-sides-ism on questions the brand should have a stance on; the absence of anything a lawyer would ever have flagged.
- Fluency without grounding — claims with no source, stats with no year, "studies show" with no study; internally contradictory sections (the tell of stitched generations).
- Reader evidence, where data exists — engagement collapse relative to the library's pre-AI baseline, rising pogo-sticking, ranking decay cohort-matched to the AI-volume era. Correlate verdicts with the seam from the production context.
Verdicts: Keep (dense, differentiated — AI-assisted or not; the audit is provenance-blind on keepers) · Enrich (sound skeleton, hollow middle — inject data, examples, stance) · Rewrite (topic worth owning, execution beyond saving) · Delete & redirect (nothing inside, no traffic worth saving — thin pages drag the domain).
Show full SKILL.md (321 more words)Show less
The Quality Gate (prevention)
For AI-assisted publishing going forward, every piece passes before shipping:
- The density test — a named reviewer deletes the anywhere-sentences; ≥50% must survive
- One of three must be present: proprietary data/experience · a named example with specifics · a defensible stance someone could disagree with
- Claims carry sources; stats carry years
- The read-aloud test — one paragraph aloud; if it sounds like nobody, it ships under nobody's name and that's the problem The gate is a checklist with an owner, not a sentiment.
Output Format
AI Content Audit: [property] — [n] pieces ([sampling noted])
Headline: [keep/enrich/rewrite/delete counts + the one-line diagnosis]
The seam: [what changed at the AI-volume transition, if data allows — cohort chart described]
| Piece | Traffic | Signals found (quoted) | Verdict |
|---|
Triage plan: [sequence: high-traffic enrichables first → deletions batched with redirects → rewrites scheduled; owner + dates]
The quality gate: [the checklist above, adapted to this org, with its named owner]
Quality Checks
- Every non-keep verdict quotes at least one concrete signal from the piece
- The audit is provenance-blind on keepers — good AI-assisted content is not penalised for its origin
- Deletions come with redirect targets, not just removal
- The triage is sequenced by traffic × trust impact, not by ease
- The gate has an owner and a pass bar, not aspirations
Anti-Patterns
- Do not use "AI-detector" scores as evidence — they misfire both ways; the signals are about emptiness, not origin
- Do not delete by publish-date cohort — some AI-era pieces are good and some human classics are slop
- Do not enrich everything — a piece with no reason to exist gets deleted, not decorated
- Do not install the gate without an owner — a checklist nobody signs is the slop pipeline with extra steps
- Do not frame the report as anti-AI — the finding is a quality failure that AI made cheap to commit at scale
Example Trigger Phrases
- "Find slop in a content library."
- "Audit AI-written content quality."
- "Explain why content engagement."
- "Set a quality bar for AI-assisted publishing."
© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/ai-content-audit of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
AI Content 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 |
|---|---|---|---|---|---|---|
| AI Content Audit this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Editorial QArampstackco/claude-skills | 945 | — | ~5.6k | Automated safety check: Pass | MIT | |
| SEO Geoericrisco/rsc-harness | 180 | — | ~2.8k | Automated safety check: Pass | MIT | |
| AI Citability Scorerzubair-trabzada/geo-seo-claude | 11k | 2 repos | ~3.7k | Automated safety check: Notes | MIT | |
| SEO Content Auditseranking/seo-skills | 161 | — | ~3k | Automated safety check: Pass | MIT | |
| SEO ContentAgriciDaniel/codex-seo | 799 | 5 repos | ~2.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about AI Content Audit
What does AI Content Audit do?
Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete. AI Content Audit is an agent skill from mohitagw15856/pm-claude-skills. Audit a content library, docs site, or blog for AI-generated filler that's eroding trust and search performance — and triage what to fix, rewrite, or delete.
When should I use AI Content Audit?
AI Content Audit fits situations like: asked to find slop in a content library; audit AI-written content quality; explain why content engagement; rankings dropped after scaling with AI.
How do I install AI Content Audit in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-content-audit -a claude-code`. Or copy the skill folder (skills/ai-content-audit in mohitagw15856/pm-claude-skills) into .claude/skills/ai-content-audit in your project. Claude Code loads it when a task matches its description.
How do I install AI Content Audit in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-content-audit -a codex`. Or copy the skill folder (skills/ai-content-audit in mohitagw15856/pm-claude-skills) into .agents/skills/ai-content-audit in your project. Codex loads it when a task matches its description.
Can I use AI Content 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 mohitagw15856/pm-claude-skills --skill ai-content-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/ai-content-audit, .gemini/skills/ai-content-audit, .github/skills/ai-content-audit and .opencode/skills/ai-content-audit in your project.
What does AI Content Audit need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Content Audit is instructions for the agent only.
Does AI Content 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 AI Content 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 AI Content Audit use?
AI Content Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Content Audit use?
About 1.5k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Content Audit?
Skills that share tags, products or a category with AI Content Audit: Editorial QA (rampstackco/claude-skills, 945 stars), SEO Geo (ericrisco/rsc-harness, 180 stars), AI Citability Scorer (zubair-trabzada/geo-seo-claude, 11k stars) and SEO Content Audit (seranking/seo-skills, 161 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Content Audit?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.