Agent skill · Audited from source
nature-polishing
skill · yuan1z0825/nature-skillsApache-2.0 licenceAudited 28 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: Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is…
Cite
Cite this page
ModelsAtlas. “nature-polishing (yuan1z0825/nature-skills)”. Retrieved 28 Oct 2026. https://modelsatlas.com/skills/yuan1z0825/nature-polishing
Trust audit
Audit 0.4.1 · source read 28 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 | NA | 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 · 28 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-polishingThe 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 archivedPushed today
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is…
--- name: nature-polishing description: Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is drafting new sections or rebuilding the manuscript argument. --- # Nature-Style Academic Polishing — Router ## Routing protocol For a new polishing task, follow the routing below. For follow-up edits, reuse established task choices and already loaded guidance; read additional fragments only when the requested scope changes. ### 1. Load the manifest and the core layer Read [manifest.yaml](manifest.yaml). It declares the axes (`paper_type`, `section`, `language`, `journal`), the allowed values, and the file paths each value maps to. Also read every file listed under `always_load`. These hold the default stance, failure-mode diagnosis, ethics, and output format that apply to every polish job. ### 2. Detect the axis values for this request For each axis in the manifest, decide the value using the manifest's `detect:` hint and the user's input: - `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research. - `section` — abstract / intro / results / discussion / conclusion / title / methods. May be multiple. Ask the user if it is ambiguous and matters for the polish. - `language` — en or zh-to-en. Detect from the draft itself. - `journal` — nature / nat-comms / nat-mach-intell / generic. Default: generic. Use `nature` only for flagship Nature, `nat-comms` for Nature Communications and `nat-mach-intell` for Nature Machine Intelligence (NMI). Do not route another Nature Portfolio title through flagship Nature rules. State the detected axis values in one short line to the user before proceeding, so they can correct you cheaply. This is a progress update, not an approval gate; continue unless a necessary decision remains unresolved. ### 3. Load the matching fragments For each axis value, Read the file mapped in the manifest. Skip the `section` axis only if the user has supplied free-floating prose with no section context. Do **not** read every fragment in `static/`. Load only what step 2 selected. ### 4. Polish using the loaded material Apply the loaded fragments in this priority order, matching the `paper type -> section job -> paragraph logic -> claim/evidence/boundary -> sentence polish` rule from `core/failure-modes.md`: 1. Paper-type playbook (architecture, writing order). 2. Section-specific job and failure modes. 3. Journal-specific framing and constraints. 4. Language-specific sentence and paragraph rules (apply last). 5. Core stance and ethics throughout. If a paragraph's structural problem cannot be fixed without inventing content, flag it instead of papering over it. For Results, full-main-text compression, main-versus-SI allocation, or prose added during revision, load `../nature-shared/core/main-text-discipline.md` before sentence polishing. Classify each result, retain the shortest sufficient evidence chain, and require every addition to trigger a deletion or replacement check across the affected paragraph. For flagship Nature, Nature Communications, Nature Machine Intelligence, or another Nature Portfolio title, load the matching shared Nature-style corpus guidance: - Results or Discussion → `../nature-shared/core/nature-results-discussion.md` - Introduction or whole-manuscript narrative → `../nature-shared/core/nature-introduction.md` - Abstract → `../nature-shared/core/nature-abstract.md` Preserve claim escalation, the fast question funnel, Introduction–Results alignment, discovery-centred abstract compression, evidence-bound local interpretation, and cross-Results synthesis. These defaults were initially distilled from published NMI papers; treat them as corpus-derived guidance, not official policy, and obey the target journal's current rules when they differ. For any Discussion polish or restructuring job, also load `../nature-shared/core/discussion-argument-language.md`. Use its function labels to remove Results replay, repair the movement from specific findings to bounded implications, calibrate modal and reporting verbs to evidence strength, and make limitations and future work resolve named claim boundaries. Treat it as general writing guidance, not journal policy. ### 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, for example when the user explicitly asks for phrasebank-style alternatives or a stricter style audit. When the target is Nature Machine Intelligence and exact limits, availability sections, conference-extension disclosure or production checks affect the revision, load `../nature-shared/journal-formats/nature-machine-intelligence.md`. For a whole-manuscript consistency audit or evidence of drift across passages, load `../nature-shared/core/consistency-sweep.md`. Local follow-up edits require checking the affected terms, numbers, and claims, not restarting a full audit solely because this is another editing round. After corrections, recheck affected occurrences and dependent claims; broaden the sweep when new discrepancies warrant it. **Layout/typesetting (排版) requests are different.** If the user asks to fix *placement* rather than wording — loose/sparse pages, stranded headings, figures that don't fill the page or split across pages, "Float too large", multi-panel arrangement, sparse Supplementary Information — skip the prose axes (paper_type, section, language, journal) and load `references/latex-layout.md` directly. That file is self-contained: it carries the diagnosis workflow (render → contact-sheet → read the log), the float-glue and `[H]`/`\clearpage`/`placeins` patterns, and the "regenerate wide figures taller at the source" rule. Always compile and visually inspect rendered pages before and after — never judge
Excerpt, first 6,000 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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Questions about nature-polishing
What does the nature-polishing skill do?
Is nature-polishing safe to install?
What can nature-polishing access on my machine?
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Sources
- github.com/yuan1z0825/nature-skills/tree/main/skills/nature-poli — the audited source at commit 620e4b8854f2 and every finding aboveObserved · 28 Oct 2026
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- What does the nature-polishing skill do?
- Is nature-polishing safe to install?
- What can nature-polishing access on my machine?