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service-mesh-observability

Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.

56

Quality

71%

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tessl review fix ./plugins/cloud-infrastructure/skills/service-mesh-observability/SKILL.md
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 skill is well structured for progressive disclosure, keeping the body as an overview and correctly delegating templates to a real, one-level-deep reference file. However, the body spends tokens re-teaching observability concepts Claude already knows and offers no sequenced, executable setup workflow — no commands, config, or verification steps appear before the pointer to the reference.

Suggestions

Remove or shrink the "Three Pillars" ASCII diagram and the Golden Signals table (concepts Claude already knows); keep only the mesh-specific alert thresholds and sampling guidance.

Add a short numbered setup sequence with executable steps (e.g. 1. Install Prometheus/Grafana via the template in references/details.md, 2. Enable Istio tracing with sampling per environment, 3. Verify with a canary query such as `sum(rate(istio_requests_total[5m]))`).

Inline one or two copy-paste-ready commands (e.g. `linkerd viz top deploy/my-app` or the request-rate PromQL) so the body is actionable without opening the reference.

DimensionReasoningScore

Conciseness

The body is mostly tight, but the ASCII-art "Three Pillars of Observability" diagram and the Golden Signals table re-explain concepts Claude already knows (metrics/traces/logs pillars, latency/traffic/errors/saturation). The Do's/Don'ts and thresholds are efficient, so it sits between the mostly-efficient 3 anchor and the noticeably-verbose 2 anchor, closer to 3.

3 / 5

Actionability

There is some concrete guidance (specific alert thresholds like "P99 > 500ms" and "100% in dev, 1-10% in prod"), but the body contains no executable commands, queries, or config; all concrete templates are deferred to references/details.md. That is incomplete guidance in the body itself — the 3 anchor (some concrete guidance, missing key details) fits better than 4 (mostly executable) since nothing in the body is copy-paste ready.

3 / 5

Workflow Clarity

There is no sequenced workflow for setting up mesh observability (e.g. enable telemetry -> install collector -> verify spans/alerts); the body is organized by topic, not steps, and validation checkpoints are entirely absent. The rough ordering of concepts is the only structure, matching the 2 anchor (rough sequence, many gaps, validation absent) better than 3 (steps listed with only validation gaps).

2 / 5

Progressive Disclosure

The bundle structure matches the 5 anchor: SKILL.md is a lean overview (when-to-use, concepts, best practices) and the concrete templates are clearly signaled one level deep in references/details.md ("Full template library and detailed worked examples live in `references/details.md`. Read that file when you need the concrete templates."), which exists as a real file and is itself flat with no nested references.

5 / 5

Total

13

/

20

Passed

Description

78%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 cleanly answers both what the skill does and when to use it, with concrete trigger phrases and mostly natural keywords. Its main weaknesses are moderate action specificity (broad pillars rather than concrete tasks) and missing platform-name synonyms (Istio, Linkerd) that would sharpen both trigger matching and distinctiveness.

Suggestions

Replace "comprehensive observability" with concrete actions, e.g. "Configure distributed tracing (Jaeger), Prometheus metrics collection, and Grafana/Kiali dashboards for Istio and Linkerd service meshes".

Add natural trigger terms users would say, such as "Istio", "Linkerd", "service mesh", or "tracing setup", to the Use-when clause.

DimensionReasoningScore

Specificity

"Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization" names the domain plus capability categories, but the categories are broad pillars rather than specific concrete actions (e.g. no mention of Prometheus, Grafana, Jaeger, or specific setup actions). It is not entirely generic (above 2) but lacks the comprehensive action coverage of 4.

3 / 5

Completeness

It explicitly answers "what" ("Implement comprehensive observability ... including distributed tracing, metrics, and visualization") and "when" ("Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication") with concrete trigger phrases, matching the 5 anchor. It is not the 4 anchor since the when-clause is already explicit and specific.

5 / 5

Trigger Term Quality

"setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication" provides good natural keywords (mesh monitoring, latency, SLOs), but misses common variations users would say such as "Istio", "Linkerd", "tracing", or "service mesh" spelled out beyond the domain phrase. Good coverage with a few natural terms missing, hence 4 rather than 5.

4 / 5

Distinctiveness Conflict Risk

Service mesh observability with triggers like mesh monitoring and SLOs for service communication is a mostly distinct niche, but there is minor overlap risk with generic monitoring/observability or Kubernetes monitoring skills. Not 5 because it does not name the specific platforms (Istio, Linkerd) that would make triggers maximally distinct.

4 / 5

Total

16

/

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

wshobson/agents

Path

plugins/cloud-infrastructure/skills/service-mesh-observability/SKILL.md

Reviewed

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