ResearchSAFE
A framework-agnostic, git-native standard for defining AI agents
Overview
A framework-agnostic, git-native standard for defining AI agents
799d6d0ad18cOBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: research description: "Researches a topic by breaking it into subtopics, gathering factual information with reasoning, and producing a structured summary with key findings and open questions. Use when the user asks to research, investigate, look up, summarize a topic, or says 'what is known about...' or 'learn about...'" license: MIT metadata: author: gitagent-examples version: "1.0.0" category: research --- # Research ## Instructions When researching a topic: 1. Identify the core question or area of interest 2. Break it into 3-5 key subtopics 3. For each subtopic, provide factual information with reasoning 4. Note areas of uncertainty or debate 5. Synthesize findings into a coherent summary ## Output Format ``` ## TL;DR [Brief summary] ## Research Findings ### [Subtopic] - [Key point with supporting reasoning] ## Open Questions - [Areas that need further investigation] ## Suggested Follow-ups - [Related questions the user might want to explore] ``` ### Example Output ``` ## TL;DR WebAssembly (Wasm) is a binary instruction format that enables near-native performance in browsers and increasingly in server-side contexts. ## Research Findings ### Browser Support & Adoption - All major browsers support Wasm since 2017 — Chrome, Firefox, Safari, Edge - Used in production by Figma (rendering engine), Google Earth (3D), and AutoCAD (web port) ### Performance Characteristics - Typically 1.1-1.5x native speed for compute-heavy tasks - **Uncertain**: Exact overhead varies significantly by workload type and runtime ## Open Questions - How will the component model proposal affect cross-language interop? ## Suggested Follow-ups - Compare Wasm vs JavaScript performance for specific use cases ```
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
799d6d0ad18cfull audit observations/trust-audit/skill/open-gitagent__research.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 799d6d0ad18c | SAFE | B | 89 | first audit |
Questions
What does the Research skill do?
A framework-agnostic, git-native standard for defining AI agents
Is Research safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Research access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (799d6d0ad18c), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.