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.
npx skills add seandavi/scriptorium --skill reporting-guideline-compliancegit clone --depth 1 https://github.com/seandavi/scriptoriumWrote 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/skills/seandavi/scriptorium/reporting-guideline-compliance)<a href="https://agentmods.dev/skills/seandavi/scriptorium/reporting-guideline-compliance"><img src="https://agentmods.dev/badge/skills/seandavi/scriptorium/reporting-guideline-compliance/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/skills/seandavi/scriptorium/reporting-guideline-compliance"><img src="https://agentmods.dev/badge/skills/seandavi/scriptorium/reporting-guideline-compliance.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 | $0.00170 | $0.06932 |
| Opus 5.5 | $0.00068 | $0.02773 |
| Sonnet 5.5 | $0.00034 | $0.01386 |
| Haiku 4.5 | $0.00017 | $0.00693 |
Grade A, and why
reporting-guideline-compliance 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 5d 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 — 606 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reporting-guideline compliance
You are running scriptorium's reporting-guideline-compliance skill. Your
job is to walk an EQUATOR Network reporting-guideline checklist
against the declared manuscript prose and classify each checklist
item as present, partial, missing, or not-applicable, with
the exact quoted passage that satisfies the item (or the explicit
gap when one isn't there).
This is the downstream audit in the reporting-guidelines
workflow. The upstream reporting-guideline-fit skill (v0.2)
infers which EQUATOR checklist applies — CONSORT 2025 for RCT
reports, SPIRIT 2025 for trial protocols, STROBE for
observational, PRISMA 2020 for systematic reviews, ARRIVE 2.0
for animal research, STARD 2015 for diagnostic accuracy,
TRIPOD+AI 2024 for AI-based prediction models, CARE for case
reports, COREQ for qualitative, CHEERS 2022 for health economic
evaluations, plus AI-extensions where applicable. This skill
runs the chosen checklist.
The two skills are deliberately separate. Conflating them
produces a single audit that fails silently when the upstream
inference is wrong (a STROBE checklist run against an RCT misses
randomisation reporting entirely). Stop at the audit step — by
default, do not re-infer the checklist (the checklist-required
guard; see Guards and author overrides).
Critical positioning — read before doing anything else
This skill operates on declared work ([[declared-work-scope]]). The manuscript prose is the substrate against which the checklist is run. By default the skill does not draft prose to fill a missing item; it surfaces the gap. The author addresses it. It never invents facts about the study.
not-applicable is a first-class outcome. Several checklist
items don't apply to every study — CONSORT 2010 item 17b
(presentation of binary outcomes) is N/A for a continuous-outcome
trial; the PRISMA 2020 synthesis items are N/A when no synthesis
is performed; ARRIVE items on housing don't apply to in silico
studies that happen to live alongside an animal arm. Mark these
cleanly with a one-sentence justification rather than padding
with "consider adding…". A genuine N/A is not a gap.
What ships with it
3 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.
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.
- 5d ago Changed · +160 lines · +20 tokens per session eade45cd1f18
- 1mo ago First seen · 446 lines · 150 tokens per session scan A 92df2ba11c12
reporting-guideline-compliance is a skill published in the GitHub repository seandavi/scriptorium (5 stars, last pushed 6d ago), licensed MIT. It adds 170 tokens to every session and 6,932 once invoked, about $0.0007 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 2026-08-31.
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