External ContextSAFE
Teams-first Multi-agent orchestration for Claude Code
Overview
Teams-first Multi-agent orchestration for Claude Code
23b879c5f631OBSERVED · 2026-09-29What 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: external-context description: Invoke parallel document-specialist agents for external web searches and documentation lookup argument-hint: <search query or topic> level: 4 --- # External Context Skill Fetch external documentation, references, and context for a query. Decomposes into 2-5 facets and spawns parallel document-specialist Claude agents. ## Usage ``` /oh-my-claudecode:external-context <topic or question> ``` ### Examples ``` /oh-my-claudecode:external-context What are the best practices for JWT token rotation in Node.js? /oh-my-claudecode:external-context Compare Prisma vs Drizzle ORM for PostgreSQL /oh-my-claudecode:external-context Latest React Server Components patterns and conventions ``` ## Protocol ### Step 1: Facet Decomposition Given a query, decompose into 2-5 independent search facets: ```markdown ## Search Decomposition **Query:** <original query> ### Facet 1: <facet-name> - **Search focus:** What to search for - **Sources:** Official docs, GitHub, blogs, etc. ### Facet 2: <facet-name> ... ``` ### Step 2: Parallel Agent Invocation Fire independent facets in parallel via Task tool: ``` Task(subagent_type="oh-my-claudecode:document-specialist", model="sonnet", prompt="Search for: <facet 1 description>. Use WebSearch and WebFetch to find official documentation and examples. Cite all sources with URLs.") Task(subagent_type="oh-my-claudecode:document-specialist", model="sonnet", prompt="Search for: <facet 2 description>. Use WebSearch and WebFetch to find official documentation and examples. Cite all sources with URLs.") ``` Maximum 5 parallel document-specialist agents. ### Step 3: Synthesis Output Format Present synthesized results in this format: ```markdown ## External Context: <query> ### Key Findings 1. **<finding>** - Source: [title](url) 2. **<finding>** - Source: [title](url) ### Detailed Results #### Facet 1: <name> <aggregated findings with citations> #### Facet 2: <name> <aggregated findings with citations> ### Sources - [Source 1](url) - [Source 2](url) ``` ## Configuration - Maximum 5 parallel document-specialist agents - No magic keyword trigger - explicit invocation only
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.
23b879c5f631full audit observations/trust-audit/skill/yeachan-heo__external-context.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-29 | 23b879c5f631 | SAFE | B | 89 | first audit |
Questions
What does the External Context skill do?
Teams-first Multi-agent orchestration for Claude Code
Is External Context 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 External Context 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 (23b879c5f631), read on 2026-09-29. The repository is watched, and a new audit runs when it changes — this is the first audit.