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 neuromechanist/research-skills --skill lit-reviewgit clone --depth 1 https://github.com/neuromechanist/research-skillsWrote 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/neuromechanist/research-skills/lit-review)<a href="https://agentmods.dev/skills/neuromechanist/research-skills/lit-review"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/lit-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/neuromechanist/research-skills/lit-review"><img src="https://agentmods.dev/badge/skills/neuromechanist/research-skills/lit-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 | $0.00139 | $0.02884 |
| Opus 5 | $0.00069 | $0.01442 |
| Sonnet 5 | $0.00028 | $0.00577 |
| Haiku 4.5 | $0.00014 | $0.00288 |
Grade A, and why
lit-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 12d 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Phase Literature Review Workflow
Orchestrate a rigorous, citation-grounded literature review across phases: angles to briefs, parallel paper collection, taxonomic synthesis, direction papers, and self-review loops. Every claim in a final document is traceable back to a paper-card.
When to Use
- Building a corpus-grounded review paper or a set of direction documents
- Multi-strand reviews where breadth + depth must be coordinated across distinct angles (e.g. tools strand, data strand, science strand)
- Reviews where claim-to-evidence traceability matters (grant lit reviews, position papers, white papers)
- Iterative reviews where new papers, refined angles, or updated synthesis must roll forward without losing prior work
When NOT to Use
- Original research IMRAD writing. Use
manuscript:manuscript-writing. - Peer review of a submitted manuscript. Use
manuscript:paper-review. - Journal formatting. Use
manuscript:manuscript-formatting.
Two modes
This skill covers two workflows:
- Express mode (single-pass synthesis): thematic synthesis for an Introduction, Background section, or quick standalone review. See references/single-pass-synthesis.md. Pair with references/review-frameworks.md for PRISMA, PICO, SPIDER, scoping protocol, and risk-of-bias tools.
- Full protocol (multi-phase): citation-traceable corpus reviews and direction papers. Use the Phase 0-4 workflow below.
When in doubt: if the user wants flowing prose for one section, use express mode; if they want a corpus with claim-to-card traceability, use the full protocol.
Workflow Phases
Phase 0: Briefs -> _briefs/strand-*.md (one brief per strand)
Phase 1: Collection -> research/collection/<strand>/<slug>/{card.md, source.{pdf,md}, meta.json}
+ INDEX.md + <strand>.bib per strand
Phase 2: Synthesis -> research/synthesis/{<strand>-ontology, gap-analysis, scope-diagram, <domain>-map}.md
Phase 3: Direction papers -> direction-papers/<topic>-direction.md
Phase 4: Review loop -> revised direction; may reopen Phase 1 with new gaps
What ships with it
8 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.
- references/brief-template.md 3.1 KB
- references/direction-paper-template.md 5.3 KB
- references/license-rules.md 4.6 KB
- references/paper-card-schema.md 4.7 KB
- references/review-frameworks.md 3.1 KB
- references/rigor-checklist.md 5.5 KB
- references/single-pass-synthesis.md 5.6 KB
- references/synthesis-templates.md 4.6 KB
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.
- 12d ago First seen · 187 lines · 139 tokens per session scan A 71d05d5ba888
lit-review is a skill published in the GitHub repository neuromechanist/research-skills (45 stars, last pushed 9d ago), licensed BSD-3-Clause. It adds 139 tokens to every session and 2,884 once invoked, about $0.0007 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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