arbor
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.
- Package
- 6 files, 62 KB
- SKILL.md
- 2380 words, 12+ sections
- Code
- Python (1)
- Allowed tools
ReadWriteEditBashAgent- License
- MIT license
- Compatibility
- Requires Python 3.10+ for the bundled state manager and Git for experiment worktrees. The optional arbor-agent CLI needs a separate installation; autonomous model calls need provider credentials and network access.
SKILL.md covers: Arbor — Autonomous Optimization via Hypothesis Tree Refinement · Overview · When to use this skill · The AO setup — pin this down first · The coordinator loop · 1. Observe · 2. Ideate · 3. Select · 4. Dispatch · 5. Backpropagate · 6. Decide · Finishing the run
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 17 KB |
references/arbor-upstream.md | doc | 5.7 KB |
references/executor-brief.md | doc | 3.1 KB |
references/htr-methodology.md | doc | 11 KB |
references/report-template.md | doc | 1.8 KB |
scripts/tree.py | script | 24 KB |
External hosts referenced
github.com arxiv.org doi.org export.arxiv.org pypi.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
ANTHROPIC_API_KEY OPENAI_API_KEY
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-arbor-scan.json
- Badge for your README:
- Request a re-scan