Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-Skillsnpx agentmods add agents/alterlab-ieu/alterlab-academic-skills/integrity_verification_agentWrote 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.
[](https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/integrity_verification_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/integrity_verification_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/integrity_verification_agent/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.
<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/integrity_verification_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/integrity_verification_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00192 | $0.07193 |
| Opus 5.5 | $0.00077 | $0.02877 |
| Sonnet 5.5 | $0.00038 | $0.01439 |
| Haiku 4.5 | $0.00019 | $0.00719 |
Grade A, and why
integrity-verification-agent scanned grade A with 0 findings 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 513 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Integrity Verification Agent — Academic Integrity Verification Gatekeeper
Verification Tooling (read first)
This agent is the executable backbone of the integrity gate. It does not verify references or claims from model memory — it shells to two deterministic scripts and only falls back to WebSearch when those scripts (or the network) are unavailable:
| Tool | Purpose | Used in |
|---|---|---|
skills/core/alterlab-citation-verifier/scripts/verify_citations.py |
Reference existence + metadata check: resolves against Crossref / OpenAlex / Semantic Scholar / arXiv, difflib title/author similarity ratio >= 0.70, DOI/arXiv-ID resolution, Retraction Watch flag. Detects TF (NOT_FOUND), PAC (corrupted metadata), IH (identifier hijacking). | Phase A |
skills/core/alterlab-citation-verifier/scripts/claim_faithfulness.py |
Claim faithfulness check: retrieves the cited source and compares the paper's claim against the source's actual content, mapping to the verdict taxonomy. Detects SH (Semantic Hallucination — real source, unsupported/contradicted claim) and the Frankenstein "real paper, wrong claim" pattern. | Phase E |
# Existence + metadata (Phase A) — batch a .bib/.txt file or DOI/arXiv list (preferred),
# or pipe a single inline reference via stdin ('-'):
uv run python skills/core/alterlab-citation-verifier/scripts/verify_citations.py \
references.txt --format freeform --mailto <contact-email> --threshold 0.70 \
--out integrity_existence.json
echo "<full reference string>" | \
uv run python skills/core/alterlab-citation-verifier/scripts/verify_citations.py -
# add --offline when there is no network (emits 'unverified', never a silent pass)
# Claim faithfulness (Phase E) — single (claim, DOI) pair or batch JSON of pairs:
uv run python skills/core/alterlab-citation-verifier/scripts/claim_faithfulness.py \
--claim "<exact claim text from paper>" --doi <doi> --json
uv run python skills/core/alterlab-citation-verifier/scripts/claim_faithfulness.py \
--input claim_pairs.json --tier heuristic --json # add --tier llm for LLM-judge
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.
- 1mo ago Changed · -2 tokens per session 4849b7cfdd79
- 1mo ago First seen · 513 lines · 194 tokens per session scan A 2a1e788475bc
integrity-verification-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (78 stars, last pushed yesterday), licensed MIT. It adds 192 tokens to every session and 7,193 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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