Agent skill

Multi Source Investigation

by poemswe in poemswe/co-researcher

You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.

MITAuto-check passedResearch & Science

Install Multi Source Investigation

skills CLI
$ npx skills add poemswe/co-researcher --skill multi-source-investigation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install poemswe/co-researcher multi-source-investigation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/poemswe/co-researcher.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-source-investigation .claude/skills/multi-source-investigation && rm -rf skills-src

Use ~/.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/

Facts

Skill name
multi-source-investigation
GitHub stars
130
Token cost
~921 tokens
SKILL.md length
411 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.

  • Works in 3 steps: Adversarial Search → Data Triangulation → Investigative Narrative
  • Tasks that involve Fact-checking and source verification
  • SKILL.md covers 1. Adversarial Search, 2. Data Triangulation and 3. Investigative Narrative
  • Calls uv

What it does

Multi Source Investigation is an agent skill from poemswe/co-researcher. You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.

Its SKILL.md is about 920 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: A professional research suite for conducting rigorous academic research using specialized agents and multi-platform CLI commands. Compatible with Claude Code, Gemini CLI, OpenAI… The licence is MIT.

When your agent uses it

  • Tasks that involve Fact-checking and source verification

Example prompts

  • “/multi-source-investigation”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Adversarial Search
  2. Data Triangulation
  3. Investigative Narrative

What it can do on your machine

Read from SKILL.md and the folder at commit 28c966f. 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

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    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

Multi Source Investigation loads about 921 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 411 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~921

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 poemswe/co-researcher at commit 28c966f, republished under its MIT licence (© poemswe). 411 words, ~921 tokens.

Download SKILL.mdSave it as .claude/skills/multi-source-investigation/SKILL.md (or your agent's skills folder).
name
multi-source-investigation
description
You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.
tools
WebSearch, WebFetch, Bash, Read, Grep, Glob
<role>
You are a PhD-level investigative researcher specializing in multi-modal verification and intelligence gathering. Your goal is to triangulate truth from diverse, sometimes conflicting, information sources while maintaining a rigorous audit trail of source credibility.
</role>
<principles>
- **Triangulation**: Never rely on a single source. Cross-validate critical claims across at least three independent sources.
- **Credibility Policing**: Actively check for biases, funding sources, and institutional reliability for every information source.
- **Traceability**: Provide digital footprints (URLs, citations) for every verified fact.
- **Factual Integrity**: Never fabricate data or verify non-existent sources.
</principles>
<competencies>
  • Verification Queries: Designing "Fact-Check" queries to find counter-perspectives.
  • Source Auditing: Identifying "fake news", predatory journals, or echo chambers.

2. Data Triangulation

  • Cross-Referencing: Mapping overlapping claims across text, data, and academic preprints.
  • Inconsistency Forensics: Identifying exactly where two reports diverge and analyzing the reason (bias vs. data).

3. Investigative Narrative

  • Truth Mapping: Visualizing the landscape of evidence from "Verified" to "Debunked".
  • Evidence Weighting: Assessing the "Preponderance of Evidence".
</competencies>
<protocol>
1. **Deconstruct Request**: Break the user's claim or topic into testable sub-claims.
2. **Initial Recon**: Perform a broad search to map the information landscape.
3. **Deep Verification**: Execute targeted searches for each sub-claim across diverse domains (News, Academic, Official, Social).
4. **Source Audit**: Rate the credibility of each major source used.
5. **Synthesis of Truth**: Present the findings with clear confidence levels and markers of consensus vs. discord.
</protocol>

<source_resolution> When a sub-claim rests on academic work (a study, paper, or preprint), verify it through the database backends owned by the literature-review skill, not through web search alone: uv run <literature-review-dir>/scripts/openalex_cli.py resolves DOIs/titles and exposes retraction-relevant metadata, europepmc_api.py fetches life-science full text and citation graphs, read_paper.py retrieves full text for any DOI/arXiv/PMCID. A cited study that cannot be resolved in these databases is marked "could not verify" in the Verification Matrix — that is itself a finding. Prerequisite uv: see the literature-review skill's <search_backend> section for setup and invocation details. </source_resolution>

Show full SKILL.md (90 more words)Show less

<output_format>

Investigation Report: [Subject]

Core Question: [The central claim/topic being investigated]

Verification Matrix:

ClaimStatusBasis of VerificationConfidence
[C1][Verified/Refuted][Source A, B, C][High/Low]

Source Credibility Audit:

  • [Source A]: [Reliability Rating + Notes on Bias]
  • [Source B]: [Reliability Rating + Notes on Bias]

Conclusion: [Final verdict based on preponderance of evidence] </output_format>

<checkpoint>
After the investigation, ask:
- Should I dive deeper into the background of [specific source]?
- Would you like me to find the original primary data mentioned in [source]?
- Should I monitor for updates on this unfolding topic?
</checkpoint>

© poemswe, 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/multi-source-investigation of poemswe/co-researcher.

Open the folder on GitHubat commit 28c966f

Compare with similar skills

Multi Source Investigation 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.

Multi Source Investigation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Multi Source Investigation this skillpoemswe/co-researcher130—~921Automated safety check: PassMIT
Perplexity Web Searchdavila7/claude-code-templates33k11 repos~3.5kAutomated safety check: NotesMIT
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Article Fact Checkerdigoal/blog8.6k—~939Automated safety check: PassGPL-2.0
Deep Research Agent TeamImbad0202/academic-research-skills51k—~13kAutomated safety check: PassCustom licence
Docs Grounding Verifiermicrosoft/apm4k—~1.9kAutomated safety check: PassMIT

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More from poemswe/co-researcher

All 15 skills in this repo
  • Literature Review

    poemswe/co-researcher

    You must use this when synthesizing existing knowledge, identifying research gaps, or tracing the evolution of scientific ideas.

    130 GitHub stars~3.6k tokensUpdated today
    Auto-check: notes
  • Research Manager

    poemswe/co-researcher

    Use this when starting a new research project or managing a complex, multi-step research workflow.

    130 GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Academic Writing

    poemswe/co-researcher

    You must use this when producing any research prose — literature reviews, syntheses, analyses, methodology descriptions, discussion sections, abstracts, or any written output intended for an…

    130 GitHub stars~2.6k tokensUpdated today
    Auto-check passed
  • Critical Analysis

    poemswe/co-researcher

    You must use this when analyzing claims, evaluating evidence, or Identifying logical fallacies in research.

    130 GitHub stars~781 tokensUpdated today
    Auto-check passed
  • Ethics Review

    poemswe/co-researcher

    You must use this when identifying ethical risks, ensuring participant privacy, or preparing IRB applications.

    130 GitHub stars~809 tokensUpdated today
    Auto-check passed
  • Grant Writing

    poemswe/co-researcher

    You must use this when drafting grant proposals, refining research aims, or aligning projects with agency priorities.

    130 GitHub stars~815 tokensUpdated today
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Questions about Multi Source Investigation

What does Multi Source Investigation do?

You must use this when investigating complex claims across diverse sources or fact-checking contradictory information. Multi Source Investigation is an agent skill from poemswe/co-researcher. You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.

When should I use Multi Source Investigation?

Multi Source Investigation fits situations like: tasks that involve Fact-checking and source verification.

How do I install Multi Source Investigation in Claude Code?

Run `npx skills add poemswe/co-researcher --skill multi-source-investigation -a claude-code`. Or copy the skill folder (skills/multi-source-investigation in poemswe/co-researcher) into .claude/skills/multi-source-investigation in your project. Claude Code loads it when a task matches its description.

How do I install Multi Source Investigation in Codex?

Run `npx skills add poemswe/co-researcher --skill multi-source-investigation -a codex`. Or copy the skill folder (skills/multi-source-investigation in poemswe/co-researcher) into .agents/skills/multi-source-investigation in your project. Codex loads it when a task matches its description.

Can I use Multi Source Investigation 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 poemswe/co-researcher --skill multi-source-investigation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-source-investigation, .gemini/skills/multi-source-investigation, .github/skills/multi-source-investigation and .opencode/skills/multi-source-investigation in your project.

What does Multi Source Investigation need to run?

Going by SKILL.md and its folder, Multi Source Investigation needs the command-line tools its instructions call (uv).

Does Multi Source Investigation access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Multi Source Investigation 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 Multi Source Investigation use?

Multi Source Investigation 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 Multi Source Investigation use?

About 921 tokens (SKILL.md is roughly 3.7k 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 Multi Source Investigation?

Skills that share tags, products or a category with Multi Source Investigation: 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 Multi Source Investigation?

poemswe (a GitHub user) maintains it in poemswe/co-researcher, which has 130 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 10, 2026.

Source: poemswe/co-researcher on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.