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otel-component-telemetry

Scan one OpenTelemetry component at pinned upstream versions and record the telemetry it emits (spans, metrics, logs) as change-point files under skills/otel-telemetry-emissions/. Invoked headless by scripts/scan.sh, one agent per component from config.json. Authoring-time only — not shipped.

77

Quality

97%

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.

This is a tightly authored procedural skill: every step is executable, edge cases are encoded as concrete rules rather than explanations, and validation with a fix-before-accept loop is built into the workflow. The body and bundle are well matched, with scripts correctly externalized and the output format specified exactly.

DimensionReasoningScore

Conciseness

The body is lean and imperative with zero concept padding — no explanation of what OpenTelemetry, spans, or metrics are. Every sentence carries non-obvious domain specifics Claude could not infer (tag-prefix stripping, package-version vs. repo-tag disambiguation like 'v1.16.0 contains instrumentation 0.37b0', scope-name attribution rules). The version examples teach edge cases rather than stating time-sensitive guidance, so they earn their tokens.

5 / 5

Actionability

Guidance is fully executable: exact commands ('git worktree add "$(mktemp -d)" <tag>', 'git rev-parse \'<tag>^{commit}\'', 'python3 tools/otel-telemetry-emission-scan/scripts/validate.py --component ...'), an exact output path template with a concrete example (receiver/kafkareceiver/v0.158.0.md), and a complete copy-paste output file template including frontmatter fields and table schemas. Variables are envsubst-rendered by scan.sh per the bundle.

5 / 5

Workflow Clarity

A clear 5-step numbered sequence (resolve versions → check out source → ground-truth in code → record conditionality → recheck and write) with an explicit validation checkpoint: run validate.py, 'fix failures before accepting output', set last_verified only after the source recheck, plus update/reconciliation rules for existing files. This batch operation includes the validate→fix→retry feedback loop, so the batch-cap does not apply.

5 / 5

Progressive Disclosure

The SKILL.md is a compact procedural overview (~75 lines) with clean sections (Procedure, Updates, Output); the executable machinery (scan.sh, validate.py) is properly externalized in the bundle's scripts/ directory, and the validate.py path referenced in the body corresponds to the real bundle file. No content is inlined that belongs in a separate reference, and there are no nested references.

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.

The description is specific, honest about its headless/authoring-time invocation mode, and states both what the skill does and exactly when it runs. Its only weakness is slightly thin synonym coverage (traces/events, file extensions) relative to the natural phrasing a user might use.

DimensionReasoningScore

Specificity

Multiple concrete actions are stated in third person: 'Scan one OpenTelemetry component at pinned upstream versions', 'record the telemetry it emits (spans, metrics, logs) as change-point files under skills/otel-telemetry-emissions/', plus the invocation mechanism. Coverage of what the skill does is comprehensive and concrete; not below 5 because no capability gaps remain and not a vague 'Processes' verb like the 4-anchor example.

5 / 5

Completeness

The 'what' is explicit (scan a component at pinned versions, record spans/metrics/logs as change-point files) and the 'when' is explicit with concrete trigger guidance: 'Invoked headless by scripts/scan.sh, one agent per component from config.json. Authoring-time only — not shipped.' This is equivalent explicit trigger guidance, so the 'missing Use when' cap does not apply.

5 / 5

Trigger Term Quality

Good natural keyword coverage: 'OpenTelemetry component', 'telemetry', 'spans, metrics, logs', 'pinned versions'. A few natural terms are missing — the body uses 'Traces' and 'Log/event' as section names, and no synonyms or file extensions (e.g., .md) appear, so it falls between the 3 and 5 anchors, noticeably above the midpoint.

4 / 5

Distinctiveness Conflict Risk

A clear niche (OpenTelemetry component telemetry inventory files under a specific output directory) with distinct, domain-specific trigger terms; minimal overlap risk with any other skill.

5 / 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

ollygarden/opentelemetry-agent-skills

Path

tools/otel-telemetry-emission-scan/SKILL.md

Reviewed

Table of Contents

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