Agent skill

Hum Source Criticism

by asgard-ai-platform in asgard-ai-platform/skills

Evaluate source credibility using primary/secondary classification, internal/external criticism, triangulation, and misinformation detection.

MITAuto-check passedResearch & Science

Install Hum Source Criticism

skills CLI
$ npx skills add asgard-ai-platform/skills --skill hum-source-criticism -a claude-code

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

GitHub CLI
$ gh skill install asgard-ai-platform/skills hum-source-criticism --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hum-source-criticism .claude/skills/hum-source-criticism && 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
hum-source-criticism
GitHub stars
242
Token cost
~1.5k tokens
SKILL.md length
565 words
Files
4 (incl. references)
Skills in repo
207
Repo updated
First seen
Licence
MIT

At a glance

Evaluate source credibility using primary/secondary classification, internal/external criticism, triangulation, and misinformation detection.

  • The user needs to assess whether information is trustworthy
  • SKILL.md covers Overview, Framework, Output Format and Examples, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Evaluate research sources

What it does

Hum Source Criticism is an agent skill from asgard-ai-platform/skills. Evaluate source credibility using primary/secondary classification, internal/external criticism, triangulation, and misinformation detection. Use this skill when the user needs to assess whether information is trustworthy, evaluate research sources, fact-check claims, or detect misinformation — even if they say 'can I trust this source', 'is this real', 'how reliable is this data', or 'fact-check this for me'.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/craap-test.md` and `references/fact-check-tools.md`).

It sits in Research & Science, covering Fact-checking and source verification. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.

When your agent uses it

  • The user needs to assess whether information is trustworthy
  • Evaluate research sources
  • Fact-check claims
  • Detect misinformation — even if they say can I trust this source

Example prompts

  • “can I trust this source”
  • “is this real”
  • “how reliable is this data”
  • “/hum-source-criticism”

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. 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

Hum Source Criticism loads about 1.5k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 565 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 565 words, ~1,526 tokens.

Download SKILL.mdSave it as .claude/skills/hum-source-criticism/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
hum-source-criticism
description
Evaluate source credibility using primary/secondary classification, internal/external criticism, triangulation, and misinformation detection. Use this skill when the user needs to assess whether information is trustworthy, evaluate research sources, fact-check claims, or detect misinformation — even if they say 'can I trust this source', 'is this real', 'how reliable is this data', or 'fact-check this for me'.
metadata.category
WP-19 文學院/人文
metadata.tags
humanities, source-criticism, fact-checking, information-literacy

Source Criticism

Overview

Source criticism is a systematic method for evaluating whether information is trustworthy. Originally from historical methodology, it's now essential for navigating an information environment flooded with misinformation, opinion-as-fact, and AI-generated content.

Framework

IRON LAW: No Source Is Automatically Trustworthy

Every source — including academic journals, government data, and news from
reputable outlets — has potential biases, errors, and limitations. Credibility
is assessed, not assumed. "It's from the New York Times / 中央社" is not
sufficient — WHAT are they reporting, based on WHAT evidence, and do other
sources corroborate it?
Source Classification

Primary sources: Direct evidence from the time/event (original documents, raw data, eyewitness accounts, original research, official records)

Secondary sources: Analysis or interpretation of primary sources (textbooks, review articles, news analysis, biographies)

Tertiary sources: Compilations of primary and secondary (encyclopedias, Wikipedia, databases) — starting points, not endpoints

Four Tests of Source Credibility

1. External Criticism — Is the source authentic?

  • Who created it? Are they who they claim to be?
  • When was it created? Is the date consistent?
  • Is it the original or has it been altered?
  • Is the publication/platform reputable?

2. Internal Criticism — Is the content reliable?

  • Does the author have expertise in this topic?
  • What is the author's potential bias or interest?
  • Is the evidence cited? Can it be verified?
  • Is the reasoning logical? Are conclusions supported by the evidence?

3. Triangulation — Do multiple independent sources agree?

  • Check 3+ independent sources (not copies of the same original report)
  • "Independent" means different authors, different organizations, different methods
  • Agreement across independent sources strengthens confidence

4. Currency — Is the information current enough?

  • When was it published? Has the situation changed since then?
  • For fast-moving topics (AI, policy, markets), even 6-month-old sources may be outdated
Red Flags for Misinformation
Red FlagDescription
No author or organization identifiedWho stands behind this claim?
Emotional language without evidenceDesigned to provoke, not inform
No primary sources citedClaims without traceable evidence
"Studies show" without naming the studyVague appeals to authority
Single source amplified across many sitesSame claim copied, not independently verified
Too good to be true / too outrageousExtreme claims require extreme evidence
URL/domain mimics reputable sourceFakecnn.com, bbc-news.co (not bbc.co.uk)

Output Format

markdown
# Source Evaluation: {Source/Claim}

## Source Identity
- Author/Organization: {who}
- Publication: {where}
- Date: {when}
- Type: Primary / Secondary / Tertiary

## Credibility Assessment
| Test | Assessment | Evidence |
|------|-----------|---------|
| External (authentic?) | ✓/⚠/✗ | {reasoning} |
| Internal (reliable?) | ✓/⚠/✗ | {reasoning} |
| Triangulation (corroborated?) | ✓/⚠/✗ | {other sources checked} |
| Currency (current?) | ✓/⚠/✗ | {relevance of date} |

## Red Flags
- {any detected red flags}

## Verdict
- Credibility: High / Moderate / Low
- Recommended action: {trust / verify further / discard}

Examples

Show full SKILL.md (259 more words)Show less
Correct Application

Scenario: Evaluating a viral social media post claiming "Taiwan's GDP will surpass South Korea's by 2027"

TestAssessmentEvidence
External⚠Anonymous account, no institutional affiliation, chart has no data source
Internal✗Uses nominal GDP (not PPP), cherry-picks semiconductor sector projection, ignores exchange rate volatility
Triangulation✗IMF and World Bank projections show no such convergence; no reputable analyst makes this claim
Currency✓Posted this month

Red flags: Emotional headline ("Taiwan DESTROYS Korea"), no primary data source cited, single unsourced chart Verdict: Low credibility — discard ✓

Incorrect Application
  • "This is from Reuters, so it must be true" → Credibility assumed, not assessed. Even reputable sources can be wrong, outdated, or framing an issue in a particular way. Violates Iron Law.

Gotchas

  • Bias ≠ unreliable: Every source has a perspective. A labor union's report on working conditions is biased but may contain accurate data. Assess bias AND accuracy separately.
  • Wikipedia is a starting point: It's a tertiary source with references. Follow the references to primary/secondary sources. Don't cite Wikipedia as evidence — cite what Wikipedia cites.
  • AI-generated content: AI can produce convincing but fabricated "sources" (fake papers, fake quotes, fake statistics). Verify that cited sources actually exist.
  • Consensus ≠ truth, but it's a strong signal: Scientific consensus (climate change, vaccine safety) is the strongest available evidence. Lone dissenting "experts" who contradict consensus need extraordinary evidence.
  • Source credibility is domain-specific: A cardiologist is a credible source on heart disease but not on economics. Match expertise to the claim.

References

  • For CRAAP test (Currency, Relevance, Authority, Accuracy, Purpose), see references/craap-test.md
  • For fact-checking tools and databases, see references/fact-check-tools.md

© asgard-ai-platform, 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 3 other files (references) in hum-source-criticism of asgard-ai-platform/skills.

  • SKILL.md
  • examples/sample_scenario.md
  • references/craap-test.md
  • references/fact-check-tools.md

Open the folder on GitHubat commit 4e7f4f8

Compare with similar skills

Hum Source Criticism 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.

Hum Source Criticism compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hum Source Criticism this skillasgard-ai-platform/skills242—~1.5kAutomated safety check: PassMIT
Perplexity Web Searchdavila7/claude-code-templates32k11 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

Similar skills

  • 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.

    32k GitHub starsUsed in 11 repos~3.5k tokens
    Research & ScienceAuto-check: notes
  • Citation Verification Guide

    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.

    5.7k GitHub starsUsed in 2 repos~1.9k tokens
    Research & ScienceAuto-check passed
  • 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 —…

    8.6k GitHub stars~939 tokensUpdated today
    Research & ScienceAuto-check passed
  • Deep Research Agent Team

    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.

    51k GitHub stars~13k tokensUpdated today
    Research & ScienceAuto-check passed
  • Official

    A skill your agent uses to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code.

    4k GitHub stars~1.9k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Fact Checking

    bradygaster/squad

    Review and validate claims using counter-hypothesis testing.

    3.3k GitHub stars~503 tokensUpdated today
    Research & ScienceAuto-check passed

More from asgard-ai-platform/skills

All 207 skills in this repo
  • Algo Ecom Bm25

    asgard-ai-platform/skills

    Implement BM25 ranking function for e-commerce product search relevance scoring.

    242 GitHub stars~1.4k tokensUpdated 4 mo ago
    Auto-check passed
  • Algo Mfg Cpk

    asgard-ai-platform/skills

    Calculate Cpk process capability index to assess whether a process meets specification requirements.

    242 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed
  • Algo Price Elasticity

    asgard-ai-platform/skills

    Calculate price elasticity of demand to quantify how price changes affect sales volume.

    242 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed
  • Algo Rank Bayesian

    asgard-ai-platform/skills

    Apply Bayesian averaging to rank items by combining observed ratings with prior expectations.

    242 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed
  • Algo Rank Elo

    asgard-ai-platform/skills

    Implement Elo rating system to rank items or players from pairwise comparison outcomes.

    242 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed
  • Algo Rank Wilson

    asgard-ai-platform/skills

    Calculate Wilson Score confidence intervals for ranking items by positive proportion with sample size correction.

    242 GitHub stars~1.1k tokensUpdated 4 mo ago
    Auto-check passed

Questions about Hum Source Criticism

What does Hum Source Criticism do?

Evaluate source credibility using primary/secondary classification, internal/external criticism, triangulation, and misinformation detection. Hum Source Criticism is an agent skill from asgard-ai-platform/skills. Evaluate source credibility using primary/secondary classification, internal/external criticism, triangulation, and misinformation detection.

When should I use Hum Source Criticism?

Hum Source Criticism fits situations like: the user needs to assess whether information is trustworthy; evaluate research sources; fact-check claims; detect misinformation — even if they say can I trust this source.

How do I install Hum Source Criticism in Claude Code?

Run `npx skills add asgard-ai-platform/skills --skill hum-source-criticism -a claude-code`. Or copy the skill folder (hum-source-criticism in asgard-ai-platform/skills) into .claude/skills/hum-source-criticism in your project. Claude Code loads it when a task matches its description.

How do I install Hum Source Criticism in Codex?

Run `npx skills add asgard-ai-platform/skills --skill hum-source-criticism -a codex`. Or copy the skill folder (hum-source-criticism in asgard-ai-platform/skills) into .agents/skills/hum-source-criticism in your project. Codex loads it when a task matches its description.

Can I use Hum Source Criticism 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 asgard-ai-platform/skills --skill hum-source-criticism -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hum-source-criticism, .gemini/skills/hum-source-criticism, .github/skills/hum-source-criticism and .opencode/skills/hum-source-criticism in your project.

What does Hum Source Criticism need to run?

SKILL.md names no scripts, command-line tools or credentials: Hum Source Criticism is instructions for the agent only.

Does Hum Source Criticism 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 Hum Source Criticism 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 Hum Source Criticism use?

Hum Source Criticism 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 Hum Source Criticism use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Hum Source Criticism?

Skills that share tags, products or a category with Hum Source Criticism: 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.

Who maintains Hum Source Criticism?

asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.

Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.