Install
$ agentstack add skill-shikaijieskj-science-skills-science-data-code ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Science Data and Code
Use this skill to connect the manuscript's claims to inspectable data, code, materials, and metadata. Treat availability as part of the evidence chain.
Default stance
- Do not invent DOIs, accession numbers, repository records, licenses, embargoes, ethics
approvals, access committees, or code status.
- Prefer public, stable, discipline-appropriate repositories.
- Separate data, code, materials, protocols, models, and third-party resources.
- Flag
available upon reasonable requestas weak unless there is a clear legal, ethical,
commercial, privacy, or third-party restriction.
- Verify current target-journal policy before final submission wording.
Open extra files
| File | Open when | |---|---| | [references/availability-patterns.md](references/availability-patterns.md) | Need ready-to-adapt data/code/materials statement patterns | | [references/repository-checklist.md](references/repository-checklist.md) | Need repository, identifier, license, metadata, or FAIR checks | | [references/source-basis.md](references/source-basis.md) | Need source hierarchy or policy-vs-advice boundaries |
Workflow
- Identify target journal and article type.
- Inventory every asset needed to support the main and supplementary claims:
raw data, processed data, figure source data, code, scripts, models, protocols, materials, third-party datasets, and restricted data.
- Map each asset to one access route:
public repository, controlled access, within paper/supplement, reused public source, third-party restricted, available on justified request, or not yet provided.
- Choose a repository and identifier strategy before drafting.
- Draft data/code/materials availability text with asset-to-location mapping.
- Add missing-information flags.
- Run the FAIR/reproducibility checklist.
Output format
Data and code availability
[ready-to-paste statement]
Asset map
| Asset | Supports claim/figure | Location | Identifier | Access conditions | Missing info |
Repository actions
- [specific actions]
Risk flags
- [specific flags or "None"]
For Chinese author notes, provide the submission-ready English statement first, then a short Chinese checklist of author actions.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: shikaijieskj
- Source: shikaijieskj/science-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.