CtrlK
BlogDocsLog inGet started
Tessl Logo
SkillPublic

production-investigation

Workflows for investigating production issues in Honeycomb: context priming, broad query, BubbleUp, trace analysis, verification, and chaining results between steps to a root cause. Trigger phrases: "investigate production issue", "debug latency spike", "find root cause", "use BubbleUp", "analyze traces", "debug an outage", "why is my API slow", "errors are increasing", "health check", "SLO burning".

93

1.30x
Quality

92%

Does it follow best practices?

Impact

98%

1.30x

Average score across 3 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-engineered instructional skill: a clearly sequenced investigation workflow with built-in verification and error recovery, concrete tool-level guidance, and proper progressive disclosure into three real reference files. The only improvements available are trimming the duplicated exception guidance and inlining a couple of literal query/parameter examples.

Suggestions

Consolidate the exception two-surface guidance: state it once in Step 2 and reduce the Error Surge pattern to a pointer (e.g., 'apply the exception discovery steps from Step 2') to remove the repetition costing conciseness.

Inline one fully-formed example per common case — e.g., a literal BubbleUp call shape in Step 3 and a concrete failed-span query in the Error Surge pattern — so the core workflow is copy-paste executable without opening the references.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence — no tutorials on what tracing or observability is, every section adds non-obvious domain knowledge. It is not a 5 because the exception two-surface guidance is stated in full in Step 2 and then substantially repeated in the Error Surge pattern section, a minor trim opportunity.

4 / 5

Actionability

Concrete, executable guidance throughout: named MCP tools (`run_bubbleup`, `get_trace`, `get_service_map`, `find_columns`) with field-level queries (`P99(duration_ms)`, `error=true`, `event.name=exception`) and a quantified interpretation example. It stops short of anchor 5 because literal query syntax and BubbleUp parameter values are not shown inline — they are delegated to reference files.

4 / 5

Workflow Clarity

A clear six-step sequence with an explicit validation checkpoint (Step 5: query with the suspected cause filtered in vs. without it as a control), feedback loops for error recovery ('When Results Are Empty or Unclear' prescribes `find_columns`, time-range expansion, filter changes), and terse per-pattern checklists. This matches anchor 5 rather than 4, whose checkpoints would only be mostly present.

5 / 5

Progressive Disclosure

The ~125-line overview keeps playbooks, BubbleUp details, and trace analysis as one-line summaries and points to three well-signaled reference files (all verified to exist, with descriptive annotations and no nested references). Cross-references to sibling skills are clearly labeled, matching anchor 5's clear overview with one-level-deep references.

5 / 5

Total

18

/

20

Passed

Description

96%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description: concrete, comprehensive action list in third-person voice, with explicit and natural trigger phrases that clearly answer both what the skill does and when to use it. The only weakness is minor trigger overlap with sibling observability skills in the same plugin.

DimensionReasoningScore

Specificity

The description lists six concrete actions — 'context priming, broad query, BubbleUp, trace analysis, verification, and chaining results between steps to a root cause' — comprehensively covering the investigation workflow with no coverage gaps, matching the anchor-5 example's breadth. It is not a 4 because the action list spans the entire workflow rather than leaving minor gaps.

5 / 5

Completeness

It explicitly answers both 'what' ('Workflows for investigating production issues in Honeycomb: context priming, broad query, BubbleUp, trace analysis, verification...') and 'when' ('Trigger phrases: ...' with concrete phrases), mirroring the anchor-5 example structure exactly. Anchor 4 would require the 'when' to be less explicit, which it is not.

5 / 5

Trigger Term Quality

Trigger phrases include natural user phrasings with synonyms across the domain: 'investigate production issue', 'debug latency spike', 'find root cause', 'debug an outage', 'why is my API slow', 'errors are increasing', 'health check', 'SLO burning'. Coverage is comprehensive; no significant natural term is missing, so this fits anchor 5 rather than anchor 4.

5 / 5

Distinctiveness Conflict Risk

The Honeycomb/BubbleUp-specific framing gives it a clear niche with distinct triggers, but phrases like 'SLO burning', 'health check', and 'analyze traces' could plausibly fire closely related sibling skills (slos-and-triggers, trace exploration) in the same plugin. This is minor overlap with closely related skills — anchor 4 — rather than the minimal conflict risk of anchor 5.

4 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

honeycombio/agent-skill

Path

honeycomb/skills/production-investigation/SKILL.md

Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.