Skill audit report

slos-and-triggers Audit report.

Decision heuristics for interpreting Honeycomb SLO compliance, budget burn rates, and trigger status — what the numbers mean and what action to take, including detecting misconfigured SLIs, deciding when to freeze deploys vs page on-call, and designing burn alert thresholds. Load this skill before calling get_slos or get_triggers. Trigger phrases: "check our SLOs", "are we meeting our SLOs", "which SLOs are healthy", "is the error budget OK", "are any alerts firing", "what's the burn rate", "set up an SLO", "create a trigger", "configure alerts", "set up burn alerts", "check trigger status", "starting on-call", "reliability picture", "should we freeze deploys", "is this SLO misconfigured", "are we within budget", "SLO is broken", "budget is negative", or any request about service level objectives, error budgets, burn rates, or alerting in Honeycomb.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
70
Audit
62
Trust
57
Quality
76
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

62
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

FAIL

30

22 GitHub stars

Stars/forks activity

FAIL

32

22 stars, 7 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

74

network or browser surface, database surface

Install availability

PASS

92

npx skills add honeycombio/agent-skill --skill slos-and-triggers

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

60

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/honeycombio/agent-skill/tree/main/honeycomb/skills/slos-and-triggers

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 15 Needs review

Install path

92

PASS

npx skills add honeycombio/agent-skill --skill slos-and-triggers

Repository

88

PASS

https://github.com/honeycombio/agent-skill/tree/main/honeycomb/skills/slos-and-triggers

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

The SKILL.md uses `${CLAUDE_PLUGIN_ROOT}` for reference file paths, which may be confusing in non-Claude or generic agent environments; the variable is not explained.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

74

CHECK

network or browser surface, database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

60

CHECK

filesystem or document access, network or browser access

Stars/forks activity

32

FIX

22 stars, 7 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

22 GitHub stars

Warnings

  • Permission surface may require sandboxing
  • The SKILL.md uses `${CLAUDE_PLUGIN_ROOT}` for reference file paths, which may be confusing in non-Claude or generic agent environments; the variable is not explained.
  • The statement that 'Compliance at 0%' is likely a misconfigured SLI is too absolute: a newly created SLO before backfill, or an SLO with no matching events, can also show 0% compliance.
  • The skill provides good action heuristics but does not specify a consistent output format for agent responses, such as how to summarize SLO status, budget burn, and recommended actions to the user.
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • GitHub adoption: 22 GitHub stars
  • Stars/forks activity: 22 stars, 7 forks; issue activity unavailable in current metadata
  • Permission surface: filesystem or document access, network or browser access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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