check-reporting

check-reporting is a skill for Claude Code from Aperivue/medsci-skills. It costs 79 tokens per session (8,146 once invoked), scanned A, original, MIT.

A manuscript checker that compares a medical research paper with the relevant reporting guideline, such as STROBE for observational studies or CONSORT for clinical trials.

In plain words
What is it for?
It is for auditing manuscripts against guidelines for observational studies, diagnostic accuracy, prediction models, AI studies, clinical trials, and other listed study types.
Why use it?
It helps reveal missing reporting details before journal submission and turns a broad guideline into an item-by-item review.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable.

Part of the medsci-review plugin — 3 skills shipped together

Good fit It is for auditing manuscripts against guidelines for observational studies, diagnostic accuracy, prediction models, AI studies, clinical trials, and other listed study types.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aperivue/medsci-skills/check-reporting
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 Aperivue/medsci-skills --skill check-reporting
Clone the repo
git clone --depth 1 https://github.com/Aperivue/medsci-skills

Made for: Claude Code.

Or install medsci-review, the plugin that ships this one along with the rest of its 3 skills.

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 check-reporting

README.md
[![agentmods](https://agentmods.dev/badge/skills/aperivue/medsci-skills/check-reporting/github.svg)](https://agentmods.dev/skills/aperivue/medsci-skills/check-reporting)
Your own site
<a href="https://agentmods.dev/skills/aperivue/medsci-skills/check-reporting"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/check-reporting/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 check-reporting

Your own site · 80×15
<a href="https://agentmods.dev/skills/aperivue/medsci-skills/check-reporting"><img src="https://agentmods.dev/badge/skills/aperivue/medsci-skills/check-reporting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,146 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00079 $0.08146
Opus 5.5 $0.00032 $0.03258
Sonnet 5.5 $0.00016 $0.01629
Haiku 4.5 $0.00008 $0.00815

Measured 20d ago against content hash e819b2df5194, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

check-reporting 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 20d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_checklist_exists.py, scripts/check_checklist_version.py, scripts/check_framework_naming.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/check-reporting/SKILL.md · 441 lines

How it starts

The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Check-Reporting Skill

Reference Files

Checklists are vendored under ${CLAUDE_SKILL_DIR}/references/checklists/, one file per instrument. Each file's header gives its version, source citation and licence, and says when its item text is an own-words summary rather than the published wording.

  • STROBE.md -- STROBE
  • STROBE_MR.md -- STROBE-MR 2021
  • RECORD.md -- RECORD 2015 (RECORD-PE for drug studies)
  • REMARK.md -- REMARK
  • TARGET.md -- TARGET 2025
  • GATHER.md -- GATHER 2016
  • CHEERS_2022.md -- CHEERS 2022
  • CROSS.md -- CROSS 2021 + CHERRIES (internet surveys)
  • SRQR.md -- SRQR 2014 (all qualitative approaches)
  • COREQ.md -- COREQ 2007 (interviews and focus groups)
  • STARD.md -- STARD 2015
  • STARD_AI.md -- STARD-AI 2025
  • TRIPOD.md -- TRIPOD 2015
  • TRIPOD_AI.md -- TRIPOD+AI 2024
  • TRIPOD_LLM.md -- TRIPOD-LLM 2025
  • PGS_RS.md -- PGS-RS / PRS-RS 2021
  • CONSORT.md -- CONSORT 2025
  • CONSORT_AI.md -- CONSORT-AI 2020
  • SPIRIT.md -- SPIRIT 2025
  • SPIRIT_AI.md -- SPIRIT-AI 2020
  • CLAIM_2024.md -- CLAIM 2024
  • DECIDE_AI.md -- DECIDE-AI 2022
  • MI_CLEAR_LLM.md -- MI-CLEAR-LLM
  • CLEAR.md -- CLEAR (radiomics)
  • ARRIVE_2.md -- ARRIVE 2.0
  • CARE.md -- CARE 2013
  • SQUIRE_2.md -- SQUIRE 2.0
  • GRRAS.md -- GRRAS
  • PRISMA_2020.md -- PRISMA 2020
  • PRISMA_2020_Abstracts.md -- PRISMA 2020 for Abstracts, 12 items. A separate instrument, not a subset of the 27-item checklist (main item 2 defers to it): score it with its own denominator.
  • PRISMA_DTA.md -- PRISMA-DTA
  • PRISMA_P.md -- PRISMA-P
  • PRISMA_ScR.md -- PRISMA-ScR
  • MOOSE.md -- MOOSE
  • SWiM.md -- SWiM
  • AMSTAR2.md -- AMSTAR 2
  • QUADAS3.md -- QUADAS-3
  • QUADAS2.md -- QUADAS-2
  • QUADAS_C.md -- QUADAS-C
  • RoB2.md -- RoB 2
  • ROBINS_I.md -- ROBINS-I
  • ROBINS_E.md -- ROBINS-E
  • ROBIS.md -- ROBIS
  • ROB_ME.md -- ROB-ME
  • RoB_NMA.md -- RoB NMA
  • PROBAST.md -- PROBAST
  • PROBAST_AI.md -- PROBAST+AI
  • NOS.md -- NOS
  • COSMIN_RoB.md -- COSMIN RoB

Read the full file on GitHub · 441 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 20d ago Changed e819b2df5194
  2. 22d ago Changed · +10 lines 555ab2d45c5d
  3. 24d ago Changed · -149 lines · -202 tokens per session dedbed156ef5
  4. 1mo ago Changed · -2 lines 7e4c0a30554f
  5. 1mo ago First seen · 582 lines · 281 tokens per session scan A 7ea44b9b6c93

Subscribe to this mod's changes

check-reporting is a skill published in the GitHub repository Aperivue/medsci-skills (349 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 8,146 once invoked, about $0.0003 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 2026-08-30.

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