Perplexity Web Search
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors.
Install AI Output Verifier
$ npx skills add mohitagw15856/pm-claude-skills --skill ai-output-verifier -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-output-verifier --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-output-verifier .claude/skills/ai-output-verifier && 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-output-verifier" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-output-verifier into .claude/skills/ai-output-verifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-output-verifier", 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-output-verifierType 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-output-verifier -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-output-verifier --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-output-verifier .agents/skills/ai-output-verifier && 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-output-verifier" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-output-verifier into .agents/skills/ai-output-verifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-output-verifier", 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-output-verifier -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-output-verifier --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-output-verifier .cursor/skills/ai-output-verifier && 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-output-verifier" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-output-verifier into .cursor/skills/ai-output-verifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-output-verifier", 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-output-verifier--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-output-verifier -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills ai-output-verifier --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-output-verifier .gemini/skills/ai-output-verifier && 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-output-verifier" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-output-verifier into .gemini/skills/ai-output-verifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-output-verifier", 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-output-verifierInstalls 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-output-verifier -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-output-verifier .github/skills/ai-output-verifier && 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-output-verifier" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-output-verifier into .github/skills/ai-output-verifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-output-verifier", 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-output-verifier -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-output-verifier --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-output-verifier .opencode/skills/ai-output-verifier && 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-output-verifier" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/ai-output-verifier into .opencode/skills/ai-output-verifier/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-output-verifier", 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-output-verifier- GitHub stars
- 1.4k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 595 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors.
- Works in 5 steps: Scan for the high-risk claim types.… → Split by risk and stakes. Separate the… → Verify against real sources. For the… → …
- Asked can I trust this AI answer
- SKILL.md covers What This Skill Produces, Required Inputs, Framework: Risk-Rate The… and Output Format, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Output Verifier is an agent skill from mohitagw15856/pm-claude-skills. Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors. Use when asked can I trust this AI answer, how do I verify what AI told me, fact-check this AI output, or is this AI response reliable. Produces a risk read on the specific output (the claims most likely to be wrong or made up), the parts that need independent verification vs the parts that are low-risk, how to actually verify each, the tells of AI hallucination and overconfidence, and…
Its SKILL.md is about 1.2k 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 Research & Science, covering Fact-checking and source verification. 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 can I trust this AI answer
- How do I verify what AI told me
- Fact-check this AI output
- Is this AI response reliable
Example prompts
- “/ai-output-verifier”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Scan for the high-risk claim types. Specific facts, numbers, dates, names, citations, recent events, and niche/technical specifics are…
- Split by risk and stakes. Separate the claims that genuinely need verification (high-risk × high-stakes) from the low-risk or low-stakes…
- Verify against real sources. For the high-risk claims, check a primary source, a second independent tool, an expert, or by testing — not…
- Watch the hallucination tells. Oddly precise citations, confident answers about very recent or obscure things, and unverifiable specifics…
- Scale trust to stakes. For low-stakes uses, light verification is fine; for anything you'll publish, decide on, or that could harm if…
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 Output Verifier loads about 1.2k tokens when it runs. Until then it costs about 168 tokens; SKILL.md has 595 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). 595 words, ~1,232 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-output-verifier/SKILL.md (or your agent's skills folder).- name
- ai-output-verifier
- description
- Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors. Use when asked can I trust this AI answer, how do I verify what AI told me, fact-check this AI output, or is this AI response reliable. Produces a risk read on the specific output (the claims most likely to be wrong or made up), the parts that need independent verification vs the parts that are low-risk, how to actually verify each, the tells of AI hallucination and overconfidence, and a habit for building verification into your AI use — because AI is confidently wrong often enough that unchecked trust is a real risk.
AI-Output Verifier
AI is fluent, confident, and sometimes completely wrong — inventing facts, citations, and details in the same authoritative tone as the correct ones. That confidence is exactly what makes unverified trust dangerous. This checks a specific output: which claims are most likely wrong or fabricated, what genuinely needs independent verification, how to verify it, and the tells of hallucination — so you use AI's speed without inheriting its errors.
What This Skill Produces
- A risk read of the output — which specific claims are most likely to be wrong, outdated, or made up (facts, numbers, citations, names, recent events, specifics)
- Verify vs. low-risk split — what genuinely needs independent checking vs. what's low-stakes or self-evident, so you spend effort where it counts
- How to verify each — the concrete way to check the high-risk claims (a primary source, a second tool, a domain expert, testing it)
- The hallucination tells — the signs AI is likely fabricating (oddly specific citations, confident claims about recent/niche facts, plausible-but-unverifiable details)
- A verification habit — how to build appropriate checking into your AI use by default, scaled to the stakes (trust more for low-stakes, verify hard for high-stakes)
Required Inputs
Ask for these if not provided:
- The output — the AI response to check (paste it)
- What it's for — the stakes (a casual question vs. something you'll publish, decide on, or act on)
- The domain — factual/technical/legal/medical/current-events (some are far higher-risk for AI)
- What you'd do with it — trust it, act on it, share it, build on it
Framework: Risk-Rate The Claims, Verify What Matters
- Scan for the high-risk claim types. Specific facts, numbers, dates, names, citations, recent events, and niche/technical specifics are where AI most often invents — flag these.
- Split by risk and stakes. Separate the claims that genuinely need verification (high-risk × high-stakes) from the low-risk or low-stakes ones you can reasonably accept — don't verify everything equally.
- Verify against real sources. For the high-risk claims, check a primary source, a second independent tool, an expert, or by testing — not by asking the same AI "are you sure?" (it'll often just re-confirm).
- Watch the hallucination tells. Oddly precise citations, confident answers about very recent or obscure things, and unverifiable specifics are red flags — treat them as unverified until checked.
- Scale trust to stakes. For low-stakes uses, light verification is fine; for anything you'll publish, decide on, or that could harm if wrong, verify hard. Build this reflex in.
Show full SKILL.md (194 more words)Show less
Output Format
Verifying: [the output] · for [use/stakes]
High-risk claims (verify these): [specific facts/numbers/citations/recent/niche → most likely wrong]. Low-risk (reasonable to accept): [self-evident / low-stakes parts]. How to verify each: [primary source / second tool / expert / test — not re-asking the same AI]. Hallucination tells present: [odd-specific citations · confident on recent/niche · unverifiable specifics]. Trust level for your use: [light check for low-stakes / verify hard because it's high-stakes].
Quality Checks
- Flags the specific high-risk claim types in the output
- Splits what needs verification from what's low-risk, by stakes
- Gives concrete verification methods (not "ask the AI again")
- Names the hallucination/overconfidence tells present
- Scales the recommended trust to the actual stakes
Anti-Patterns
- "Verify everything" equally, ignoring stakes.
- Re-asking the same AI "are you sure?" as verification.
- Trusting confident tone as a signal of correctness.
- Missing the high-risk claim types (citations, recent facts, numbers).
- No stakes-based scaling of how hard to check.
Example Trigger Phrases
- "Can I trust this answer the AI gave me?"
- "How do I verify what ChatGPT told me before I use it?"
- "Fact-check this AI output — I'm about to publish it."
- "Is this AI response reliable enough to act on?"
- "What in this AI answer should I double-check?"
© 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-output-verifier of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
AI Output Verifier 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 Output Verifier this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Perplexity Web Searchdavila7/claude-code-templates | 33k | 11 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Citation Verification GuideGalaxy-Dawn/claude-scholar | 5.7k | 2 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Article Fact Checkerdigoal/blog | 8.6k | — | ~939 | Automated safety check: Pass | GPL-2.0 | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Docs Grounding Verifiermicrosoft/apm | 4k | — | ~1.9k | Automated safety check: Pass | MIT |
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Categories
Questions about AI Output Verifier
What does AI Output Verifier do?
Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors. AI Output Verifier is an agent skill from mohitagw15856/pm-claude-skills. Check AI output before you trust or use it — where it's likely wrong, what to verify, and how to catch confident-sounding errors.
When should I use AI Output Verifier?
AI Output Verifier fits situations like: asked can I trust this AI answer; how do I verify what AI told me; fact-check this AI output; is this AI response reliable.
How do I install AI Output Verifier in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-output-verifier -a claude-code`. Or copy the skill folder (skills/ai-output-verifier in mohitagw15856/pm-claude-skills) into .claude/skills/ai-output-verifier in your project. Claude Code loads it when a task matches its description.
How do I install AI Output Verifier in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill ai-output-verifier -a codex`. Or copy the skill folder (skills/ai-output-verifier in mohitagw15856/pm-claude-skills) into .agents/skills/ai-output-verifier in your project. Codex loads it when a task matches its description.
Can I use AI Output Verifier 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-output-verifier -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-output-verifier, .gemini/skills/ai-output-verifier, .github/skills/ai-output-verifier and .opencode/skills/ai-output-verifier in your project.
What does AI Output Verifier need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Output Verifier is instructions for the agent only.
Does AI Output Verifier 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 Output Verifier 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 Output Verifier use?
AI Output Verifier 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 Output Verifier use?
About 1.2k tokens (SKILL.md is roughly 4.9k 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 Output Verifier?
Skills that share tags, products or a category with AI Output Verifier: Perplexity Web Search (davila7/claude-code-templates, 33k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Article Fact Checker (digoal/blog, 8.6k stars) and Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Output Verifier?
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.