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 agentmods add skills/camusgit/evoquant/local-paper-navigatornpx skills add CamusGIT/EvoQuant --skill local-paper-navigatorgit clone --depth 1 https://github.com/CamusGIT/EvoQuantWrote 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/camusgit/evoquant/local-paper-navigator)<a href="https://agentmods.dev/skills/camusgit/evoquant/local-paper-navigator"><img src="https://agentmods.dev/badge/skills/camusgit/evoquant/local-paper-navigator.svg" alt="Measured on agentmods" 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 | $0.00119 | $0.01237 |
| Opus 5 | $0.00060 | $0.00619 |
| Sonnet 5 | $0.00024 | $0.00247 |
| Haiku 4.5 | $0.00012 | $0.00124 |
Grade A, and why
local-paper-navigator 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 today.
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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Paper Navigator
Find and read papers from the local papers library via the three native tools. No scripts, no environment variables — the library is already mounted and the tools resolve it themselves.
paper_search L3 one line per paper — find candidates, pick paperIds
│
paper_read L2 full card + section outline — understand a paper (one call is enough)
│
paper_section L1 ONE verbatim section — the only escape hatch into full text
Whole-paper reads are blocked by design (/papers/markdown/** and /papers/raw/** reject direct reads). A read rejection is the mechanism working, not a failure — descend a level instead.
Core loop
paper_search(query, limit)— 1–3 queries, one concept each, dedupe by paperId.paper_read(paper_id)— for each candidate that matters. 8+ char paperId prefix works.paper_section(paper_id, heading|query)— only when you must quote the full text verbatim.- Stop. Cite with the paperId prefix (first 8+ chars).
Empty search → the tool says so honestly. Report "not in the library" rather than widening into fabrication; try one rephrased query (English ↔ Chinese — cards match Chinese titles) before concluding.
Reading discipline
| Level | Tool | Payload | When |
|---|---|---|---|
| L3 Contextual | paper_search |
one line/paper | scanning, building a shortlist |
| L2 Analytical | paper_read |
card + outline, ≤8K | understanding a paper's method + findings |
| L1 Technical | paper_section |
one section, ≤16K | reimplementing, verbatim quotation |
Defaults: L3 before L2 before L1. Escalate only when the current level cannot answer the question. Most questions end at L2.
Five Red Lines (always)
- Track history. Don't re-run a query you already ran. Empty result → change angle, not synonyms.
- Search a gap, not a vibe. Every query maps to one missing piece of information. No stacked-keyword bags.
- One query = one concept. Split comparisons (
A vs B), multi-property asks, and multi-year spans into separate calls. - Never hallucinate. Every fact (title, source, year, content) comes from a tool result. Direct reads being rejected is the design — never claim content you couldn't reach.
- Quote-or-zero. When you claim a paper meets a criterion, quote a ≤80-char span from its card or a paper_section result. No quote → that criterion scores 0.
What ships with it
18 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.
- assets/paper-summary-template.md 924 B
- references/disambiguation.md 2.1 KB
- references/iterative-collection.md 4.3 KB
- references/output-formats.md 1.8 KB
- references/reading-strategy.md 3.1 KB
- references/search-principles.md 2.6 KB
- references/thorough-mode.md 8.2 KB
- scripts/code_repo_search.py 4.8 KB runs code
- scripts/fetch_paper.py 6.4 KB runs code
- scripts/find_code.py 12 KB runs code
- scripts/literature_report.py 16 KB runs code
- scripts/local_search.py 6.9 KB runs code
- scripts/match_by_title.py 4.0 KB runs code
- scripts/saturation.py 14 KB runs code
- scripts/similar_papers.py 5.8 KB runs code
- scripts/snippet_search.py 8.4 KB runs code
- scripts/utils.py 9.7 KB runs code
- scripts/xref_search.py 8.6 KB runs code
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.
- today Changed · -253 lines · +17 tokens per session b5637e3e831b
- 6d ago First seen · 343 lines · 102 tokens per session scan A 104efde469f1
local-paper-navigator is a skill published in the GitHub repository CamusGIT/EvoQuant (212 stars, last pushed 3d ago), licensed Apache-2.0. It adds 119 tokens to every session and 1,237 once invoked, about $0.0006 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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