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 luffysolution-svg/obsidian-vault-mcp --skill literature-reviewgit clone --depth 1 https://github.com/luffysolution-svg/obsidian-vault-mcpWrote 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/luffysolution-svg/obsidian-vault-mcp/literature-review)<a href="https://agentmods.dev/skills/luffysolution-svg/obsidian-vault-mcp/literature-review"><img src="https://agentmods.dev/badge/skills/luffysolution-svg/obsidian-vault-mcp/literature-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/luffysolution-svg/obsidian-vault-mcp/literature-review"><img src="https://agentmods.dev/badge/skills/luffysolution-svg/obsidian-vault-mcp/literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 8 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00057 | $0.00331 |
| Opus 5 | $0.00028 | $0.00166 |
| Sonnet 5 | $0.00011 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
literature-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.
What it actually says
Literature review
Read discipline profiles to select default synthesis axes and the output contract before saving.
- State the review question, source pool, time or topic boundary, and inclusion limits.
- Preserve a user-specified pool. Use
literature_retrievefor the initial cross-paper map. - Select the primary discipline profile from the question and sources; user priorities override profile defaults.
- Deep-read only pivotal papers and unresolved themes with targeted
literature_paper_readcalls. - Organize the review by themes, mechanisms, methods, theories, or another question-driven taxonomy.
- Build a cross-study matrix and distinguish consensus, conflict, non-comparability, and missing information.
- Do not describe search candidates as deeply read sources or call a selective review systematic.
- Generate a concise summary and source boundary.
- Use
literature_analysis_getto avoid duplicates, thenliterature_analysis_writein dry-run mode; inspect before committing the review.
Never organize the main synthesis as one summary per paper or imply exhaustive coverage without an exhaustive process.
User Customizations
Add local review conventions below this line.
What ships with it
2 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.
- 12d ago First seen · 29 lines · 57 tokens per session scan A 5224f44c0831
literature-review is a skill published in the GitHub repository luffysolution-svg/obsidian-vault-mcp (81 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 331 once invoked, about $0.0003 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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