kb-validate-citations

kb-validate-citations is a skill for Claude Code from SteveGJones/ai-first-sdlc-practices. It costs 63 tokens per session (1,659 once invoked), scanned A, original, MIT.

A citation checker for knowledge-base files that tests DOI links, arXiv identifiers, and journal-reference formatting. It catches obvious false or malformed references.

In plain words
What is it for?
Use it after adding research to a library or during regular library maintenance. It can check all library files or a selected file pattern.
Why use it?
Research tools can produce made-up DOIs, authors, journals, or paper IDs. This check finds common errors before they spread, while leaving harder cases for human review.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the sdlc-knowledge-base plugin — 16 skills, 4 agents shipped together

Good fit Use it after adding research to a library or during regular library maintenance. It can check all library files or a selected file pattern.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SteveGJones/ai-first-sdlc-practices --skill kb-validate-citations
Clone the repo
git clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practices

Made for: Claude Code.

Or install sdlc-knowledge-base, the plugin that ships this one along with the rest of its 16 skills, 4 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for kb-validate-citations

README.md
[![agentmods](https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations/github.svg)](https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations)
Your own site
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for kb-validate-citations

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-validate-citations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,659 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.01659
Opus 5.5 $0.00025 $0.00664
Sonnet 5.5 $0.00013 $0.00332
Haiku 4.5 $0.00006 $0.00166

Measured 1mo ago against content hash fe385f53ee0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kb-validate-citations scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sLI "https://doi.org/<doi>" -o /dev/null -w "%{http_code}"
plugins/sdlc-knowledge-base/skills/kb-validate-citations/SKILL.md · 207 lines

How it starts

The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Validate Knowledge Base Citations

Catch obvious citation hallucinations in library files. Deep research engines occasionally fabricate DOIs, attribute findings to the wrong author, or invent journal names. Manual spot-checking 10-20% of citations remains necessary; this skill automates the obvious failure cases so manual review can focus on subtler issues.

Argument

Optional file path or glob to scope validation. Default: all library files in library/**/*.md excluding the index files.

Examples:

  • library/dora-metrics.md — single file
  • library/dora-*.md — files matching a pattern
  • (no argument) — all library files

Preflight

  • Verify the knowledge base is configured.
  • Verify network access (DOI resolution requires HTTPS to https://doi.org).

Steps

1. Discover library files

Use Glob to find files matching the scope. Exclude:

  • library/_shelf-index.md
  • library/_index.md
  • library/log.md
  • library/raw/**

2. Extract citations from each file

For each library file, parse the ## Key References section and the inline citations in ## Core Findings. Identify three citation types:

DOI citations — strings matching the DOI regex: 10\.\d{4,9}/[-._;()/:A-Z0-9]+ (case-insensitive). DOIs are the strongest signal because they're machine-resolvable.

arXiv IDs — strings matching arXiv:\d{4}\.\d{4,5} or arxiv\.org/abs/\d{4}\.\d{4,5}.

Journal references — anything matching the pattern <authors>. (<year>). "<title>." <Journal Name>, <volume>(<issue>), <pages>. or similar bibliographic format. Best-effort extraction; not all citations follow a standard format.

3. Validate each citation type

DOI resolution

For each DOI, attempt to resolve it via:

curl -sLI "https://doi.org/<doi>" -o /dev/null -w "%{http_code}"

Expected: HTTP 302 or 200 (redirected to the publisher landing page). Failure: HTTP 404 (DOI does not exist) or 500 (DOI registry error).

Classify each result:

  • OK: 200/302
  • NOT FOUND: 404 — flag as likely hallucinated
  • TRANSIENT: 500/timeout/network failure — soft-fail with "could not verify"

Read the full file on GitHub · 207 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 207 lines · 63 tokens per session scan A fe385f53ee0a

Subscribe to this mod's changes

kb-validate-citations is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 63 tokens to every session and 1,659 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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