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distributed-tracing

Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.

52

Quality

58%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/distributed-tracing/SKILL.md

The canonical home for this skill is distributed-tracing in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

51%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.

The body is a rich, mostly executable reference of setup and instrumentation snippets, but it reads as a topical catalog rather than a sequenced workflow with validation checkpoints, and it inlines bulk content while pointing to reference files that are missing from the bundle.

Suggestions

Replace the generic 'Instructions' with a sequenced workflow with explicit validation checkpoints (deploy Jaeger → instrument a service → verify a trace appears in the UI → troubleshoot if missing).

Create the referenced bundle files (references/jaeger-setup.md, references/instrumentation.md, assets/jaeger-config.yaml.template, resources/implementation-playbook.md) or remove the broken references, so navigation is not dead-ended.

Move the bulk multi-language instrumentation examples and full k8s/Docker/Tempo configs into the reference files and keep SKILL.md as a lean overview, and remove the 'Distributed Tracing Concepts' section that explains Trace/Span/Tags Claude already knows.

DimensionReasoningScore

Conciseness

Mostly efficient concrete setup code, but the 'Distributed Tracing Concepts' section explains Trace/Span/Context/Tags/Logs — concepts Claude already knows — and some boilerplate could be tightened, matching anchor 3 'Mostly efficient but includes some unnecessary explanation or could be tightened'.

3 / 5

Actionability

Provides concrete, mostly copy-paste-ready code for Jaeger k8s/Docker, OpenTelemetry instrumentation in Python/Node/Go, propagation, and sampling, with only minor gaps (e.g., undefined `trace`/`attribute` symbols in the Node and Go examples), fitting anchor 4 'Mostly executable guidance; concrete code or commands with minor gaps'.

4 / 5

Workflow Clarity

The 'Instructions' section is generic boilerplate ('Clarify goals...', 'Apply relevant best practices and validate outcomes') with no real sequence or validation checkpoints, and this deployment/instrumentation context lacks any deploy→instrument→verify feedback loop, matching anchor 2 'Rough sequence present but many gaps; steps poorly defined; validation absent'.

2 / 5

Progressive Disclosure

Has section structure and inline-signaled references, but the body inlines large blocks (full code for 3 languages, full k8s/Docker/Tempo configs) that belong in separate files, and the referenced paths (references/jaeger-setup.md, references/instrumentation.md, assets/jaeger-config.yaml.template, resources/implementation-playbook.md) do not exist in the bundle, fitting anchor 3 'Some structure... references present but not clearly signaled; content that should be separate is inline'.

3 / 5

Total

12

/

20

Passed

Description

65%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 and highly distinctive thanks to named tools (Jaeger, Tempo), with good trigger term coverage, but it lacks any explicit 'Use when...' trigger guidance, which caps completeness and slightly limits trigger discoverability.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when implementing request tracing across microservices, debugging cross-service latency, or when the user mentions Jaeger, Tempo, or distributed tracing.'

Broaden trigger terms to include natural synonyms users say: 'OpenTelemetry', 'traces', 'spans', 'request flow'.

Add 1-2 more concrete actions (e.g., 'instrument services', 'configure sampling') to move specificity toward comprehensive coverage.

DimensionReasoningScore

Specificity

Names the domain and 1-2 concrete actions ('Implement distributed tracing with Jaeger and Tempo', 'request flow visibility across microservices') but is not comprehensive — no mention of instrumentation, sampling, or setup steps — matching the anchor 3 example 'Processes PDF files and extracts content'.

3 / 5

Completeness

Has a clear 'what' but no 'when' — there is no 'Use when...' clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 3 (anchor: 'Has a clear what but when is missing or only weakly implied').

3 / 5

Trigger Term Quality

Includes natural, user-sayable terms 'distributed tracing', 'Jaeger', 'Tempo', 'request flow visibility', 'microservices' with good coverage, but omits common synonyms/extensions like 'OpenTelemetry', 'trace', 'spans', so it fits anchor 4 rather than the comprehensive anchor 5.

4 / 5

Distinctiveness Conflict Risk

Names specific tools (Jaeger, Tempo) and a clear niche (distributed tracing across microservices for request flow visibility), giving distinct triggers and minimal conflict risk, matching anchor 5 'Clear niche with distinct triggers; minimal conflict risk'.

5 / 5

Total

15

/

20

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 6 missing

Warning

Total

14

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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