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.
Research: structured investigation, fact-checking, explanation traces.
$ npx skills add notque/vexjoy-agent --skill research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notque/vexjoy-agent research --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/notque/vexjoy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research/research .claude/skills/research && 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 "research" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/research into .claude/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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/notque/vexjoy-agent/tree/main/skills/research/researchType 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 notque/vexjoy-agent --skill research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notque/vexjoy-agent research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/research/research .agents/skills/research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/research into .agents/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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 notque/vexjoy-agent --skill research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notque/vexjoy-agent research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/research/research .cursor/skills/research && 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 "research" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/research into .cursor/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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/notque/vexjoy-agent.git --path skills/research/research--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 notque/vexjoy-agent --skill research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notque/vexjoy-agent research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/research/research .gemini/skills/research && 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 "research" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/research into .gemini/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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 notque/vexjoy-agent researchInstalls 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 notque/vexjoy-agent --skill research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/research/research .github/skills/research && 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 "research" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/research into .github/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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 notque/vexjoy-agent --skill research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notque/vexjoy-agent research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notque/vexjoy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/research/research .opencode/skills/research && 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 "research" agent skill from https://github.com/notque/vexjoy-agent/tree/main/skills/research/research into .opencode/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", 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.
researchResearch: structured investigation, fact-checking, explanation traces.
Research is an agent skill from notque/vexjoy-agent. Research: structured investigation, fact-checking, explanation traces.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/error-handling.md`, `references/preferred-patterns.md` and `references/trace-schema.md`).
It sits in Research & Science, covering Fact-checking and source verification. The repository describes itself as: VexJoy AI Agent with Jev Intelligent Routing - /do routes plain-English requests to the right specialist agent and gates the work with reviews, tests, and a learning loop. The licence is MIT.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 5218674. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashGlobGrepAgentWriteWebFetchWebSearchFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Research loads about 1.7k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 20 tokens; SKILL.md has 645 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Bash, Glob, Grep, Agent, Write, WebFetch, WebSearchAutomated 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.
The full file from notque/vexjoy-agent at commit 5218674, republished under its MIT licence (© notque). 645 words, ~1,687 tokens.
.claude/skills/research/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Three modes. Select by request signal:
| Signal | Mode |
|---|---|
| Formal research, investigation, sourced report, gather evidence | Research Pipeline |
| Fact check, verify claims, check facts, is this accurate, verify quote | Fact-Check |
| Why did you, explain routing, show trace, decision log, why that agent | Explanation Traces |
Default: Research Pipeline.
Verify every factual claim in a draft before publish. Burden of proof sits on the claim, not the checker. Works standalone or as a pre-publish gate. Non-blocking: the report warns; the caller decides whether to publish.
List every checkable claim: statistics, prices, dates, quotes, attributions, titles, event facts, rankings, causal assertions. Opinions and speculation stay out.
For each claim, record: ID, verbatim text, type (stat/quote/attribution/event/title/price/causal), location. Extract quotes verbatim for exact-words comparison.
Gate: Every checkable assertion has a claim ID. Sweep the document twice.
Work claim by claim.
Gate: Every claim has an evidence record.
Assign each claim one label:
| Label | Assign when |
|---|---|
| Verified | Evidence supports; current within staleness window; sufficient source tier |
| Disputed | Evidence contradicts; newer source supersedes; quote fails any axis |
| Unverifiable | Sources engage the claim but settle nothing |
| Missing-source | No available source addresses it |
Rules: contradiction beats support. Partial verification gets the weakest label. Stale figure superseded by newer = Disputed; merely old with no newer figure = Unverifiable.
Gate: Every claim carries one label and a one-line justification.
# Fact-Check Report: [document]
## Summary
Claims: N | Verified: n | Disputed: n | Unverifiable: n | Missing-source: n
Unchecked: n (reason)
## Per-Claim Findings
### C1 -- [label]
Claim: [text] | Evidence: [source + passage] | Reasoning: [why this label]
## Warnings
[Every Disputed/Missing-source claim with correction]
## Publish Recommendation
[Hold / fix-then-publish / clear]Every time-sensitive Verified claim carries its as-of date.
Gate: Report covers every claim ID. Warnings lists every Disputed and Missing-source finding.
Read the per-dispatch route event log and present routing decisions as a human-readable timeline. Answer "why did I get routed here?" from recorded events only -- never from reconstruction or rationalization.
Log path: ${CLAUDE_LEARNING_DIR:-$HOME/.claude/learning}/route-events.jsonl (append-only JSONL).
LOG="${CLAUDE_LEARNING_DIR:-$HOME/.claude/learning}/route-events.jsonl"
wc -l "$LOG"If absent or empty, report the path and the producing hook (hooks/routing-decision-recorder.py). Do not reconstruct from memory.
Parse each JSON line. Two event types: DECISION (one per /do-routed dispatch) and OUTCOME (one per finalized dispatch). See references/trace-schema.md for full field semantics.
Filter to the user's query:
| User signal | Filter |
|---|---|
| Names an agent or skill | DECISION/OUTCOME events matching that name |
| "Why routed here" / latest | Most recent DECISION, current session first |
| Outcome question | OUTCOME events, joined to decisions |
| No specific target | Chronological timeline, most recent session |
Join OUTCOME to DECISION on same session AND key == "{agent}:{skill}". File adjacency is unreliable.
Sort by ts. For each decision, show: time, agent+skill, complexity, request snippet, health at decision (three states: numeric, no-weight-row, legacy), alternates, outcome.
Lead with the answer to the user's specific question, then offer surrounding context. Flag gaps honestly: pre-instrumentation entries, unmatched outcomes.
request_snippet is private session data: show to the session's user, keep out of PR bodies, issues, exports.
| Signal | Reference | Content |
|---|---|---|
| Event field schema, health states, join rules | references/trace-schema.md | DECISION/OUTCOME field semantics |
| Diagnosing thin trace data, consumer mistakes | references/preferred-patterns.md | Failure mode catalog for log reading |
| Parse/read errors, missing log, unmatched outcomes | references/error-handling.md | Error-fix mappings for trace reading |
© notque, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/research/research of notque/vexjoy-agent.
Open the folder on GitHubat commit 5218674
Research 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 |
|---|---|---|---|---|---|---|
| Research this skillnotque/vexjoy-agent | 435 | — | ~1.7k | Automated safety check: Notes | MIT | |
| Perplexity Web Searchdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Citation Verification GuideGalaxy-Dawn/claude-scholar | 5.7k | 3 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 |
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.
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
digoal/blog
三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
microsoft/apm
A skill your agent uses to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code.
bradygaster/squad
Review and validate claims using counter-hypothesis testing.
notque/vexjoy-agent
Deterministic palette/matrix pixel art (not AI). An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Pull request lifecycle: commit, codex review, sync, review, fix, status, cleanup, and PR mining.
notque/vexjoy-agent
Improve architecture across modules by deepening interfaces.
notque/vexjoy-agent
Code quality: cleanup, linting, formatting, quality gates. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Statistical rule discovery from Go codebase patterns. An agent skill from notque/vexjoy-agent.
notque/vexjoy-agent
Review and fix temporal references in code comments. An agent skill from notque/vexjoy-agent.
Categories
Research: structured investigation, fact-checking, explanation traces. Research is an agent skill from notque/vexjoy-agent. Research: structured investigation, fact-checking, explanation traces.
Research fits situations like: tasks that involve Fact-checking and source verification.
Run `npx skills add notque/vexjoy-agent --skill research -a claude-code`. Or copy the skill folder (skills/research/research in notque/vexjoy-agent) into .claude/skills/research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notque/vexjoy-agent --skill research -a codex`. Or copy the skill folder (skills/research/research in notque/vexjoy-agent) into .agents/skills/research in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notque/vexjoy-agent --skill research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research, .gemini/skills/research, .github/skills/research and .opencode/skills/research in your project.
SKILL.md names no scripts, command-line tools or credentials: Research is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, Agent, Write, WebFetch, WebSearch.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.7k 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 5.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Research: Perplexity Web Search (davila7/claude-code-templates, 32k 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.
notque (a GitHub user) maintains it in notque/vexjoy-agent, which has 435 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on October 3, 2026.
Source: notque/vexjoy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.