Agent skill · Audited from source
nature-reader
skill · yuan1z0825/nature-skillsApache-2.0 licenceAudited 29 Oct 2026 · source 620e4b8854f2
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 620e4b8854f2 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Create source-grounded Chinese-English paper readers with aligned text, figures, tables, and equations. Use for 全文翻译、中英文对照、论文精读 or source-linked questions about a paper; respect a requested excerpt or question without…
Cite
Cite this page
ModelsAtlas. “nature-reader (yuan1z0825/nature-skills)”. Retrieved 29 Oct 2026. https://modelsatlas.com/skills/yuan1z0825/nature-reader
Trust audit
Audit 0.4.1 · source read 29 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | PASS | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 620e4b8854f2 · 29 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisheryuan1z0825 GitHub userOwner of the repository this skill is read from
- Source folderyuan1z0825/nature-skills/skills/nature-readerThe exact folder we audited
- LicenceApache-2.0As the repository states it
- Commit pinned for this verdict620e4b8854f2A new audit runs when the source changes
- Repository statusNot archivedLast push 1 day ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Create source-grounded Chinese-English paper readers with aligned text, figures, tables, and equations. Use for 全文翻译、中英文对照、论文精读 or source-linked questions about a paper; respect a requested excerpt or question without…
--- name: nature-reader description: "Create source-grounded Chinese-English paper readers with aligned text, figures, tables, and equations. Use for 全文翻译、中英文对照、论文精读 or source-linked questions about a paper; respect a requested excerpt or question without generating a full reader." metadata: version: "2.1.1" author: Community contribution, refactored into static/dynamic layers --- # Full-Paper Markdown Reader — Router ## Routing protocol First distinguish creating a reader from answering a question or translating an excerpt. For a source-linked question, read `references/grounding-rules.md` and inspect only the relevant source material; reuse existing source-map IDs when available. Do not regenerate the reader or require a full source map before answering. For an explicit excerpt request, apply extraction, translation, and grounding rules to that excerpt. The full-artifact workflow below applies when the user requests a reader or full-paper translation. For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it. ### 1. Load the manifest and the core layer Read [manifest.yaml](manifest.yaml). It declares the `source_format` axis, the allowed values, and the file paths each value maps to. Also read every file listed under `always_load`. These hold the core principles, the reading workflow, and the output contract that apply to every reading job, plus the shared Terminology Ledger used to build the recurring-term table. ### 2. Detect the source format Decide the `source_format` value using the manifest's `detect:` hint and the user's input: - `pdf-text` — selectable-text PDF. Default. - `scanned-pdf` — image-only or OCR-required PDF. - `html` — publisher or preprint HTML page. - `doi-arxiv` — a bare DOI or arXiv link that must be resolved first. - `pasted-text` — pasted prose or notes with no retrievable original layout. State the detected value in one short line to the user before processing, so they can correct you cheaply. A source may map to more than one value (for example a DOI that resolves to a PDF); load the resolution fragment first, then the fragment for the resolved artifact. ### 3. Load the matching fragment(s) Read the file mapped for the detected `source_format`. Do **not** read every fragment in `static/`. Load only what step 2 selected. ### 4. Build the reader using the loaded material Apply the loaded fragments in this priority order: 1. Core principles (`core/principles.md`) — bilingual reader by default, translate for meaning, never degrade to a summary, copyright caution. 2. Source-format fragment — how to extract text, figures, and tables for this input. 3. Reading workflow (`core/workflow.md`) — the six-step source-map-first process. 4. Output contract (`core/output-contract.md`) — required files and the pre-response verification checklist. Build the Terminology Ledger as you translate (`../nature-shared/core/terminology-ledger.md`); it becomes the `paper.md` recurring-term table and the `source_map.json` glossary. If constraints prevent full processing, still create a draft reader and label missing pages, figures, or low-confidence crops in `translation_notes.md`. Do not switch to summary mode. ### 5. Reach for references only when needed The files under `references/` are deep references, not defaults. Open them on demand per the `references.on_demand` table in the manifest: - detailed figure/table cropping and placement → `references/figure-extraction.md`. - exact field schema for `paper.md` / `source_map.json` → `references/output-spec.md`. - equations, mathematical expressions, chemical formulae, or image-only formulae → `references/equation-handling.md`. - answering follow-up questions with source citations → `references/grounding-rules.md`.
Excerpt, first 3,843 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 620e4b8
git clone https://github.com/yuan1z0825/nature-skills git -C nature-skills checkout 620e4b8854f2
The author documents no install command, so this uses the repository directly. Our verdict covers commit 620e4b8854f2 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
620e4b8854f2
README badge
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[](https://modelsatlas.com/skills/yuan1z0825/nature-reader/)
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Questions about nature-reader
What does the nature-reader skill do?
Is nature-reader safe to install?
What can nature-reader access on my machine?
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Sources
- github.com/yuan1z0825/nature-skills/tree/main/skills/nature-read — the audited source at commit 620e4b8854f2 and every finding aboveObserved · 29 Oct 2026
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Opens with this page as the source. We add nothing else to the prompt.
- What does the nature-reader skill do?
- Is nature-reader safe to install?
- What can nature-reader access on my machine?