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honeycomb-tracing

Trace Paperclip runs, requests, and full CI suites in Honeycomb. Use to find traces, diagnose latency, design readable and foldable waterfalls, configure opt-in OpenTelemetry, or add missing spans.

Quality

96%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%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.

An exemplar skill body: it routes the reader through a decision table, gives fully concrete commands, filters, span names, and code seams for every workflow stage, embeds explicit verification and evidence standards, and cleanly pushes specialized detail (CI profiling, runtime setup, trace design) into three well-signaled reference files. Nothing explains what Claude already knows, and no step is left vague.

DimensionReasoningScore

Conciseness

The body never explains concepts Claude already knows; every line carries non-obvious project facts ("Detail spans are capped at 16 per name per attempt", "a failed fast run is not a latency improvement", the Observability/Telemetry/Run-log distinction). Dense, telegraphic, and lean — anchor 5 (every token earns its place); not 4 because there is no identifiable padding or over-explanation to trim.

5 / 5

Actionability

Provides a copy-paste executable command (the sha256 run-ID hash one-liner), exact query filters ("paperclip.task.run.run_id", "name in [task.execution_attempt, task.provider_session, task.run]"), and exact file paths and function names for instrumentation seams ("withRunExecutionTiming", "createRunPreparationTiming", "measureRunPhase"). Fully executable guidance covering the common case — anchor 5; not 4 because the key operations are specified precisely enough to execute without guessing.

5 / 5

Workflow Clarity

Clear routed workflow: a decision table for choosing the data path, numbered steps 1–6 for finding the trace, then reading, designing, instrumenting, and comparing. Explicit validation checkpoints are embedded throughout ("Verify the target before comparing data", "Use real exported evidence to claim that new spans appear in Honeycomb; a unit-test tracer alone does not prove ingestion", "Run focused tests for endpoint-off behavior...") along with error-recovery branches ("Remove the name filter when setup failed", "widen it for older runs"). Matches anchor 5; not 4 because validation and feedback guidance is explicit rather than merely present.

5 / 5

Progressive Disclosure

The body is a navigable overview with a routing table, and specialized detail is split into three real, one-level-deep references, each clearly signaled with its purpose: [runtime setup](references/runtime.md) "if spans are absent", [CI profiling](references/ci.md), and [trace design](references/trace-design.md) "when designing or reviewing a hierarchy" (its #verify-the-exported-waterfall anchor exists). Easy navigation, appropriate split — anchor 5; not 4 because no inlined content clearly belongs in a separate file and all references are well signaled.

5 / 5

Total

20

/

20

Passed

Description

92%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: it names a specific niche (Honeycomb tracing of Paperclip runs, requests, and CI suites), enumerates five concrete capabilities, and provides an explicit multi-trigger 'Use to' clause. Its only weakness is that a few natural user phrasings (e.g., 'slow', 'performance') are not covered among the trigger terms.

DimensionReasoningScore

Specificity

"Use to find traces, diagnose latency, design readable and foldable waterfalls, configure opt-in OpenTelemetry, or add missing spans" lists five specific concrete actions covering finding, diagnosing, designing, configuring, and instrumenting. This matches the anchor-5 example (multiple specific actions, comprehensive coverage), not 4, because there are no meaningful coverage gaps for the domain.

5 / 5

Completeness

Explicitly answers "what" ("Trace Paperclip runs, requests, and full CI suites in Honeycomb") and "when" via the equivalent trigger clause "Use to find traces, diagnose latency, design readable and foldable waterfalls, configure opt-in OpenTelemetry, or add missing spans". Both are concrete with multiple trigger phrases, matching anchor 5; not 4 because the when-clause is explicit rather than needing more specificity.

5 / 5

Trigger Term Quality

Natural keywords present: "Honeycomb", "traces", "latency", "waterfalls", "spans", "full CI suites", "OpenTelemetry" — good coverage of what users would say. Not 5 because common natural phrasings like "slow", "performance", or "profiling" are absent, leaving a few natural terms missing (anchor 4).

4 / 5

Distinctiveness Conflict Risk

"Trace Paperclip runs... in Honeycomb" plus distinctive triggers (waterfall, spans, OpenTelemetry, run traces) establish a clear niche with minimal conflict risk against generic performance or CI skills. Matches anchor 5 (clear niche, distinct triggers); not 4 because overlap risk is negligible beyond the inherent "diagnose latency" overlap with general performance work.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 2 suspicious

Warning

Total

15

/

16

Passed

Repository

paperclipai/paperclip

Path

.agents/skills/honeycomb-tracing/SKILL.md

Reviewed

Table of Contents

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