self-verify-beacon-in-sandbox

self-verify-beacon-in-sandbox is an Integration & environment testing skill for AI agents, published by Asymptote-Labs in the agent-beacon repository on GitHub. Skillspace rates self-verify-beacon-in-sandbox F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Verify a Beacon change end to end by running a real Claude Code session inside a disposable Linux cloud sandbox and checking that Beacon captured what the agent actually did. Use when asked to verify, validate, test, or prove that a Beacon change works for real rather than just compiling; when asked whether telemetry, event capture, commands, file paths, prompts, tokens, or approvals are still recorded correctly; when investigating a suspected capture gap; or when preparing a Beacon pull request that touches the CLI, hooks, or the collector exporter.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
325

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since.

View source on GitHubAsymptote-Labs/agent-beacon

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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