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 yha9806/academic-writing-toolkit --skill evidence-reviewgit clone --depth 1 https://github.com/yha9806/academic-writing-toolkitWrote 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/yha9806/academic-writing-toolkit/evidence-review)<a href="https://agentmods.dev/skills/yha9806/academic-writing-toolkit/evidence-review"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/evidence-review/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/yha9806/academic-writing-toolkit/evidence-review"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/evidence-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00072 | $0.01073 |
| Opus 5 | $0.00036 | $0.00536 |
| Sonnet 5 | $0.00014 | $0.00215 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
evidence-review 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 13d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/evidence-review - Evidence-Controlled Review Skill
Purpose
Create literature-review and review-paper workflows that are traceable from evidence to claim. This skill extends the toolkit's read-note-map-integrate pipeline with stricter evidence-status control, gap mapping, citation-role planning, paragraph-level claim traceability, and overclaim auditing.
Trigger Words
This skill activates on: evidence review, gap review, gap map, claim traceability, overclaim audit, review paper, scoping review, systematic narrative review, /evidence-review.
Core Rules
- Keep the central review scope explicit.
- Separate direct evidence, background evidence, methodological support, workflow/governance support, candidate-only records, unpublished work, and in-progress work.
- Do not fabricate references, DOI, PMID, sample size, venue, abstracts, results, or claims.
- Do not treat candidate-only, metadata-only, abstract-only, generated-stub, or manual-review records as full-text evidence.
- Do not treat adjacent-domain evidence as direct validation of the target domain.
- Preserve uncertainty and boundary language.
- Use the project's citation style or placeholder convention. If the project uses review placeholders, preserve
[CITE: CitationKey]. - Draft section by section. Do not assemble a final chapter or paper until section-level controls are clean.
Workflow
1. Scope And Boundary Setup
Create a short scope statement with:
- central review question
- direct evidence domain
- adjacent background domains
- methodological support domains
- excluded topics
- key overclaim risks
2. Evidence Inventory
Inspect existing project files before drafting. Common locations include:
literature/reading_notes/summaries/evidence/outputs/references_master.csvoutputs/search_log.md
Classify each source using references/evidence_status_schema.md.
3. Gap Map
Create or update:
evidence/evidence_matrix.csvevidence/claim_register.csvevidence/citation_plan.csvevidence/remaining_gap_notes.csvevidence/overclaim_risk_register.csv
What ships with it
4 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.
- 13d ago First seen · 141 lines · 72 tokens per session scan A 7f39bf8d0e25
evidence-review is a skill published in the GitHub repository yha9806/academic-writing-toolkit (38 stars, last pushed 4d ago), licensed MIT. It adds 72 tokens to every session and 1,073 once invoked, about $0.0004 per session on Opus 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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