Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Verify citations, claims, and numbers before answering. An agent skill from serenakeyitan/open-exam-skills.
Install Citation Check
$ npx skills add serenakeyitan/open-exam-skills --skill citation-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install serenakeyitan/open-exam-skills citation-check --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/serenakeyitan/open-exam-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/citation-check .claude/skills/citation-check && 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 "citation-check" agent skill from https://github.com/serenakeyitan/open-exam-skills/tree/main/skills/citation-check into .claude/skills/citation-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "citation-check", 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/serenakeyitan/open-exam-skills/tree/main/skills/citation-checkType 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 serenakeyitan/open-exam-skills --skill citation-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install serenakeyitan/open-exam-skills citation-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/serenakeyitan/open-exam-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/citation-check .agents/skills/citation-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "citation-check" agent skill from https://github.com/serenakeyitan/open-exam-skills/tree/main/skills/citation-check into .agents/skills/citation-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "citation-check", 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 serenakeyitan/open-exam-skills --skill citation-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install serenakeyitan/open-exam-skills citation-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/serenakeyitan/open-exam-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/citation-check .cursor/skills/citation-check && 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 "citation-check" agent skill from https://github.com/serenakeyitan/open-exam-skills/tree/main/skills/citation-check into .cursor/skills/citation-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "citation-check", 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/serenakeyitan/open-exam-skills.git --path skills/citation-check--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 serenakeyitan/open-exam-skills --skill citation-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install serenakeyitan/open-exam-skills citation-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/serenakeyitan/open-exam-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/citation-check .gemini/skills/citation-check && 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 "citation-check" agent skill from https://github.com/serenakeyitan/open-exam-skills/tree/main/skills/citation-check into .gemini/skills/citation-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "citation-check", 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 serenakeyitan/open-exam-skills citation-checkInstalls 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 serenakeyitan/open-exam-skills --skill citation-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/serenakeyitan/open-exam-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/citation-check .github/skills/citation-check && 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 "citation-check" agent skill from https://github.com/serenakeyitan/open-exam-skills/tree/main/skills/citation-check into .github/skills/citation-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "citation-check", 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 serenakeyitan/open-exam-skills --skill citation-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install serenakeyitan/open-exam-skills citation-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/serenakeyitan/open-exam-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/citation-check .opencode/skills/citation-check && 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 "citation-check" agent skill from https://github.com/serenakeyitan/open-exam-skills/tree/main/skills/citation-check into .opencode/skills/citation-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "citation-check", 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
citation-check- GitHub stars
- 147
- Token cost
- ~5k tokens
- SKILL.md length
- 1,219 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Verify citations, claims, and numbers before answering. An agent skill from serenakeyitan/open-exam-skills.
- Works in 8 steps: Extract Data Points → Find Source → Compare Value-by-Value → …
- Tasks that involve Citation management
- SKILL.md covers Output Contract, Two Verification Modes, Two-Pass Architecture and Claim Extraction Rules…, plus 8 more sections
- Runs Shell scripts from its folder; reaches arxiv.org and statista.com
What it does
Citation Check is an agent skill from serenakeyitan/open-exam-skills. Verify citations, claims, and numbers before answering.
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `README.md`, `references/citation_schema.json` and `scripts/install.sh`).
It sits in Research & Science, covering Citation management. The repository describes itself as: A high-quality collection of study skills built for high school and college students, teachers, and TAs. Use it directly in Kael.im for free without installing skills. The licence is MIT.
When your agent uses it
- Tasks that involve Citation management
Example prompts
- “/citation-check”
Requirements
- A Bash shell
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit fe13bb2. 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
Ships 1 file in scripts/ (Shell), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
arxiv.orgstatista.com
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
Citation Check loads about 5k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 18 tokens; SKILL.md has 1,219 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); the scripts in this folder are not scanned.
SKILL.md
The full file from serenakeyitan/open-exam-skills at commit fe13bb2, republished under its MIT licence (© serenakeyitan). 1,219 words, ~5,004 tokens.
Download SKILL.mdSave it as
.claude/skills/citation-check/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- citation-check
- description
- Verify citations, claims, and numbers before answering.
Citation & Hallucination Checker v2
Verification tool with vision + web search. Validates every claim against authoritative sources or provided documents. Works with content in any language.
Design principle: Deterministic verification. Same input → Same output.
Output Contract
- Pass 1 outputs a numbered claim list in the required format.
- Pass 2 outputs a verification report with status for every claim.
- If any claim is unverified, hallucinated, or misquoted, block final output until fixed.
Two Verification Modes
Mode 1: Search Verification (Default)
- Searches web for authoritative sources
- Validates citations actually exist
- Checks if cited sources say what's claimed
- Finds original data for statistics
Mode 2: Doc-Only Verification
- User provides source document(s)
- EVERYTHING must trace to those docs
- Flags anything that appears to come from external knowledge
- Trigger: "only use this document" / "verify against the PDF only" / "don't search the web"
Two-Pass Architecture
Critical: Always use two separate passes. Never interleave extraction and verification.
Pass 1: Extraction Only
- Read entire document/slides/images
- Extract ALL claims using the Claim Extraction Rules below
- Output numbered list:
[claim_id] | [claim_text] | [claim_type] | [location] - NO verification in this pass
- Present extraction to user for confirmation before proceeding
Pass 2: Verification Only
- Take Pass 1 output as fixed input
- Verify each claim_id in sequential order
- NO re-extraction allowed — work only with Pass 1 claims
- Apply Status Decision Tree to each claim
- Generate final report
This prevents "discovering new claims" mid-verification and ensures consistency.
Claim Extraction Rules (Exhaustive)
Extract ONLY these claim types. Apply rules strictly — no judgment calls.
EXTRACT as claims:
| Type | Pattern | Example |
|---|---|---|
| Statistic | Any number with unit/context (%, $, count, ratio, decimal) | "92.3% accuracy", "$4.7B market" |
| Comparative | X is [comparative] than Y | "3x faster than baseline" |
| Temporal | Time-bound assertion | "In 2024, adoption reached..." |
| Attribution | Claim tied to source | "According to WHO...", "Smith et al. found..." |
| Causal | X causes/leads to/results in Y | "This reduces latency by..." |
| Existence | Asserts something exists/is true | "There are 500M users", "The model supports..." |
| Ranking | Position claims | "largest", "first", "top 3" |
| Quote | Direct quotation | Any text in quotation marks attributed to source |
DO NOT extract as claims:
| Type | Example | Reason |
|---|---|---|
| Definitions | "Machine learning is a subset of AI" | Definitional, not factual claim |
| Opinions marked as such | "We believe...", "In our view..." | Explicitly subjective |
| Hypotheticals | "If adoption continues...", "Could potentially..." | Speculative |
| Questions | "What drives growth?" | Not an assertion |
| Future predictions without source | "Will reach $10B by 2030" | Unless citing a forecast report |
| Methodology descriptions | "We used PyTorch 2.0" | Process, not factual claim |
| Acknowledgments | "Thanks to our collaborators" | Not verifiable |
Extraction Output Format
[C01] | "Model achieves 96.555% accuracy on ImageNet" | Statistic | Slide 3, bullet 2
[C02] | "Outperforms GPT-4 by 12% on reasoning tasks" | Comparative | Slide 3, bullet 3
[C03] | "According to Chen et al. (2024), transformers scale linearly" | Attribution | Slide 5, para 1
[C04] | "Market size reached $4.7B in 2024" | Statistic + Temporal | Slide 7, chart titleStatus Decision Tree
Apply this tree to EVERY claim. Follow exactly — no shortcuts.
START
│
├─ Is this a CITATION claim (references a paper/report/source)?
│ ├─ YES → Go to CITATION VALIDATION
│ └─ NO → Go to STATISTIC/FACT VALIDATION
│
│
CITATION VALIDATION
│
├─ Step 1: Does the cited source exist?
│ │ Run ALL mandatory search queries (see Search Templates)
│ │
│ ├─ NO → Status: "Citation Not Found"
│ │ Issue: "Cannot locate [citation] in any database"
│ │ STOP
│ │
│ └─ YES → Step 2: Does source contain the claimed topic?
│ │
│ ├─ NO → Status: "Misquoted"
│ │ Issue: "Source exists but does not discuss [topic]"
│ │ STOP
│ │
│ └─ YES → Step 3: Does source support the exact claim?
│ │
│ ├─ YES (exact match) → Status: "Verified"
│ │ Confidence: "exact"
│ │
│ ├─ YES (paraphrase, same meaning) → Status: "Verified"
│ │ Confidence: "paraphrase"
│ │
│ ├─ PARTIALLY (missing context) → Status: "Misleading"
│ │ Issue: "Claim omits critical context: [what's missing]"
│ │
│ └─ NO (contradicts) → Status: "Hallucination"
│ Issue: "Source says [X], claim says [Y]"
│
│
STATISTIC/FACT VALIDATION
│
├─ Step 1: Can you find an authoritative source?
│ │ Run ALL mandatory search queries (see Search Templates)
│ │
│ ├─ NO (no source found) → Status: "Unverified"
│ │ Issue: "No authoritative source found"
│ │ STOP
│ │
│ └─ YES → Step 2: Do values match EXACTLY?
│ │
│ ├─ YES → Status: "Verified"
│ │ Confidence: "exact"
│ │ STOP
│ │
│ └─ NO → Status: "Numerical Error"
│ Go to NUMERICAL ERROR DETAILS
│
│
NUMERICAL ERROR DETAILS (Academic Precision Mode)
│
├─ Record:
│ • Source value: [exact number from source]
│ • Claimed value: [number in document being checked]
│ • Deviation: [calculate exact difference]
│ • Source location: [page, table, section]
│
├─ Classification:
│ • ANY rounding → Numerical Error
│ • ANY truncation → Numerical Error
│ • Significant figures mismatch → Numerical Error
│ • Unit mismatch → Numerical Error
│ • Wrong direction (e.g., increase vs decrease) → Hallucination
│
└─ Exception: If source ITSELF provides rounded figure
• e.g., Source says "96.555% (approximately 97%)"
• Then claiming "97%" → Verified (cite the approximation)Numerical Precision Rules (Academic Standard)
Default mode: Strict academic precision. Exact numbers only.
| Rule | Source | Claim | Status |
|---|---|---|---|
| Exact match required | 96.555% | 96.555% | ✓ Verified |
| Any rounding = error | 96.555% | 97% | ✗ Numerical Error |
| Any rounding = error | 96.555% | 96.6% | ✗ Numerical Error |
| Truncation = error | 96.555% | 96.5% | ✗ Numerical Error |
| Sig figs must match | 0.834 | 0.83 | ✗ Numerical Error |
| Units must match | 96.555% | 0.96555 | ✗ Numerical Error |
| Direction matters | +12% growth | +15% growth | ✗ Hallucination |
| Order of magnitude | $4.7B | $47B | ✗ Hallucination |
Numerical Error Output Format
### Numerical Error: [Claim ID]
| Field | Value |
|-------|-------|
| Claim | "Model achieves 97% accuracy" |
| Location | Slide 4, bullet 2 |
| Source | Chen et al. (2024), Table 3, p.8 |
| Source value | 96.555% |
| Claimed value | 97% |
| Deviation | +0.445% (rounded up) |
| Status | Numerical Error |
| Fix | Replace with: "Model achieves 96.555% accuracy" |Confidence Classification
| Level | Criteria | Use when |
|---|---|---|
| exact | ≥95% word overlap OR identical number with identical units | Direct quote, exact statistic |
| paraphrase | Same fact, different words, no interpretation added | Restated finding |
| interpretation | Inference drawn from source data | Calculated from source, synthesized |
Rule: When uncertain between levels, use the MORE CONSERVATIVE option and flag for review.
Mandatory Search Templates
Run ALL applicable templates. Do not stop after first result.
For Academic Citations
Query 1: "[first author last name] [year] [first 3 words of title]"
Query 2: "[full paper title]" site:semanticscholar.org OR site:arxiv.org
Query 3: "[first author] [year] [venue/journal name]"
Query 4: "doi:[DOI]" (if DOI provided)
Query 5: "arxiv:[arxiv_id]" (if arXiv ID provided)For Statistics (Market size, usage numbers, etc.)
Query 1: "[exact number with unit] [topic] [year]"
Query 2: "[topic] [year] statistics report site:statista.com"
Query 3: "[topic] [year] report site:mckinsey.com OR site:gartner.com"
Query 4: "[topic] market size [year] site:gov OR site:edu"
Query 5: "[topic] [number] original source"For Company/Product Claims
Query 1: "[company name] [claim topic] press release [year]"
Query 2: site:[company domain] [claim topic]
Query 3: "[company name] [metric] official announcement"
Query 4: "[company name] [claim] SEC filing" (for public companies)For Health/Medical Claims
Query 1: "[claim topic] site:who.int OR site:cdc.gov OR site:nih.gov"
Query 2: "[claim] systematic review site:cochrane.org"
Query 3: "[claim] meta-analysis pubmed"For Government/Policy Claims
Query 1: "[policy/law name] site:gov"
Query 2: "[statistic] official statistics [country]"
Query 3: "[claim] [agency name] report"Source Authority Hierarchy
When multiple sources found, prefer in this order:
| Rank | Source Type | Examples |
|---|---|---|
| 1 | Primary source | Original study, official report, raw data |
| 2 | Government/institutional | WHO, CDC, World Bank, national statistics offices |
| 3 | Peer-reviewed publication | Nature, Science, IEEE, ACM |
| 4 | Industry reports (named) | Gartner, McKinsey, Statista (with methodology) |
| 5 | Reputable news citing primary | NYT, Reuters citing original source |
| 6 | Secondary compilations | Wikipedia (check their sources) |
Rule: If only Rank 5-6 sources found, status = "Unverified" with note "Only secondary sources found"
Multi-Source Verification (Search Mode)
A claim achieves "Verified" status only if:
| Condition | Sources Required |
|---|---|
| Primary source found | 1 (if authoritative: .gov, peer-reviewed, official) |
| Only secondary sources | ≥2 independent sources agreeing |
| Sources conflict | Status = "Unverified", note the conflict |
Show full SKILL.md (506 more words)Show less
Tie-Breaker Rules
When uncertain, apply these rules. No judgment calls.
| Situation | Rule |
|---|---|
| Missing date on claim | Assume refers to most recent year available; flag "needs date" |
| Conflicting sources | Use most recent authoritative source; cite both; note conflict |
| Source not found after all queries | Status = "Unverified" (NOT "Hallucination") |
| Number differs due to currency conversion | Flag as "Needs clarification: currency/units" |
| Same org, multiple reports | Use most recent; cite with date |
| Claim uses "approximately" or "about" | Still verify base number is in valid range (±10% of source) |
| Source is paywalled | Note "Source behind paywall, unable to verify exact text" |
| Source is in different language | Translate and verify; note translation |
Visual Data Verification
For every chart, graph, table, or diagram:
Step 1: Extract Data Points
- Read ALL values from the visual
- Record: axis labels, units, scale, legend
- Note any visual distortions (truncated axes, 3D effects, etc.)
Step 2: Find Source
- Search mode: Run search templates for the data
- Doc-only mode: Locate in source document
Step 3: Compare Value-by-Value
| Visual Element | Extracted Value | Source Value | Status |
|----------------|-----------------|--------------|--------|
| Bar 1 (2022) | 45% | 45.0% | ✓ Verified |
| Bar 2 (2023) | 62% | 58.3% | ✗ Numerical Error |
| Bar 3 (2024) | 78% | Not in source | ✗ Hallucination |Step 4: Check Visual Integrity
| Check | Issue Type |
|---|---|
| Y-axis starts at non-zero | "Visual Distortion: axis manipulation" |
| 3D effects distort proportions | "Visual Distortion: 3D exaggeration" |
| Missing error bars when source has them | "Misleading: uncertainty omitted" |
| Different time ranges than source | "Misleading: cherry-picked timeframe" |
Doc-Only Mode Workflow
Trigger phrases:
- "only use this document"
- "don't search the web"
- "verify against the PDF only"
- "everything should be from the source"
Step 1: Index Source Document
Build complete index before any verification:
SOURCE INDEX
Document: [filename]
Pages: [count]
Page 1:
- Text: [summary of content]
- Statistics: [list all numbers with context]
- Tables: [Table 1: columns X, Y, Z]
- Figures: [Figure 1: shows X]
Page 2:
...Step 2: Apply Two-Pass Architecture
Same as search mode, but verification uses ONLY the source index.
Step 3: Trace Each Claim
Claim: [C01] "Model achieves 92% accuracy"
Search index for: "92", "accuracy", "performance"
├─ Found: Section 4.2, p.8 — "Our model achieves 92.1% accuracy"
│ └─ Status: Numerical Error (92% vs 92.1%)
│
OR
│
├─ Not found in index
│ └─ Status: "Not in Source"
│ Issue: "This claim cannot be traced to the provided document"
│ Likely: External knowledge / hallucinationStep 4: Flag ALL External Knowledge
In doc-only mode, ANY claim not traceable to source = problem
### External Knowledge Detected
These claims are NOT in the provided document:
| Claim ID | Claim | Status | Issue |
|----------|-------|--------|-------|
| C07 | "This method is widely adopted in industry" | Not in Source | Appears to be from model training data |
| C12 | "Published in Nature 2024" | Not in Source | Publication venue not mentioned in source |Output Format
Summary Block (Always First)
## Verification Report
**Mode:** [Search / Doc-Only]
**Document:** [filename or description]
**Generated:** [timestamp]
### Summary
| Metric | Count |
|--------|-------|
| Total claims extracted | X |
| Verified | Y |
| Numerical Error | Z |
| Unverified | A |
| Hallucination | B |
| Misleading | C |
| Not in Source (doc-only) | D |
**Overall Status:** [PASS: All verified / FAIL: Issues found]Detailed Findings (Grouped by Status)
### ✓ Verified Claims (N)
| ID | Claim | Source | Location | Confidence |
|----|-------|--------|----------|------------|
| C01 | "92.1% accuracy" | Chen et al. 2024 | Table 3, p.8 | exact |
### ✗ Numerical Errors (N)
| ID | Claim | Source Value | Claimed Value | Deviation | Fix |
|----|-------|--------------|---------------|-----------|-----|
| C03 | "97% accuracy" | 96.555% | 97% | +0.445% | Use 96.555% |
### ✗ Hallucinations (N)
| ID | Claim | Issue | Source Says |
|----|-------|-------|-------------|
| C05 | "3x faster" | Contradicts source | Source: 2.1x faster |
### ⚠ Unverified (N)
| ID | Claim | Issue |
|----|-------|-------|
| C08 | "$50B market" | No authoritative source found |
### ⚠ Misleading (N)
| ID | Claim | Issue | Missing Context |
|----|-------|-------|-----------------|
| C10 | "Best performance" | Cherry-picked metric | Only on subset; overall performance lower |Sources Consulted
### Sources
| ID | Citation | Type | URL | Used For |
|----|----------|------|-----|----------|
| S1 | Chen et al. (2024) | arxiv | https://arxiv.org/... | C01, C02, C03 |
| S2 | Statista Market Report | report | https://statista.com/... | C08 |Critical Rules
- Two-pass always — Extract first, verify second. Never interleave.
- Every claim gets checked — No exceptions, no skipping "obvious" ones.
- Exact numbers only — 96.555% ≠ 97% in academic mode.
- Find the origin — Don't accept secondary sources citing unknown primaries.
- Run ALL search templates — Don't stop after first result.
- Citations must be real — Search to confirm papers/reports exist.
- Check what sources actually say — A real paper can still be misquoted.
- In doc-only mode, flag ALL external knowledge — Even if it's true.
- When uncertain, be conservative — "Unverified" is safer than false "Verified".
- Follow tie-breaker rules — No ad-hoc judgment calls.
Language Support
- Accepts content in any language
- Searches in the appropriate language for sources
- Reports in the same language as user's request
- Cross-language verification supported (e.g., Chinese slides citing English papers)
- When translating for verification, note: "Translated from [language]"
Output Format Options
Quick: Summary + critical issues only (Numerical Errors, Hallucinations, Unverified) Full: Complete traceability report with all claims JSON: Machine-readable audit (see references/citation_schema.json)
Changelog
v2.0 — Consistency update
- Added Two-Pass Architecture (extract → verify separation)
- Added exhaustive Claim Extraction Rules
- Added Status Decision Tree (deterministic classification)
- Added strict Numerical Precision Rules (academic mode)
- Added Mandatory Search Templates
- Added Multi-Source Verification requirements
- Added Tie-Breaker Rules for edge cases
- Added Confidence Classification thresholds
© serenakeyitan, 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 5 other files (scripts, references) in skills/citation-check of serenakeyitan/open-exam-skills.
- SKILL.md
- LICENSE
- README.md
- references/citation_schema.json
- scripts/install.sh
- skill.yaml
Open the folder on GitHubat commit fe13bb2
Compare with similar skills
Citation Check 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 |
|---|---|---|---|---|---|---|
| Citation Check this skillserenakeyitan/open-exam-skills | 147 | — | ~5k | Automated safety check: Pass | MIT | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| NetworkxzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence |
Similar skills
Systematic Review Screener
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
Networkx
zLanqing/codex-claude-academic-skills
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Openalex Database
neflibata-feng/MyArxiv-Agent
Query and analyze scholarly literature using the OpenAlex database.
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.
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Run the student exam prep workflow (mindmap → flashcards → quiz).
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Run citation-check before delivering factual outputs. An agent skill from serenakeyitan/open-exam-skills.
Related
Categories
Questions about Citation Check
What does Citation Check do?
Verify citations, claims, and numbers before answering. An agent skill from serenakeyitan/open-exam-skills. Citation Check is an agent skill from serenakeyitan/open-exam-skills. Verify citations, claims, and numbers before answering.
When should I use Citation Check?
Citation Check fits situations like: tasks that involve Citation management.
How do I install Citation Check in Claude Code?
Run `npx skills add serenakeyitan/open-exam-skills --skill citation-check -a claude-code`. Or copy the skill folder (skills/citation-check in serenakeyitan/open-exam-skills) into .claude/skills/citation-check in your project. Claude Code loads it when a task matches its description.
How do I install Citation Check in Codex?
Run `npx skills add serenakeyitan/open-exam-skills --skill citation-check -a codex`. Or copy the skill folder (skills/citation-check in serenakeyitan/open-exam-skills) into .agents/skills/citation-check in your project. Codex loads it when a task matches its description.
Can I use Citation Check 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 serenakeyitan/open-exam-skills --skill citation-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/citation-check, .gemini/skills/citation-check, .github/skills/citation-check and .opencode/skills/citation-check in your project.
What does Citation Check need to run?
Going by SKILL.md and its folder, Citation Check needs a shell for the scripts in its folder. Our summary lists: A Bash shell.
Does Citation Check access the network?
SKILL.md names 2 domains. In commands or code: arxiv.org and statista.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Is Citation Check 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Citation Check use?
Citation Check is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Citation Check use?
About 5k tokens (SKILL.md is roughly 20k 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 1.2k tokens, read only when the agent opens those files.
What are the alternatives to Citation Check?
Skills that share tags, products or a category with Citation Check: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Citation Check?
serenakeyitan (a GitHub user) maintains it in serenakeyitan/open-exam-skills, which has 147 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on February 2, 2026.
Source: serenakeyitan/open-exam-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.