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datadog-automation

Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.

57

Quality

66%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./plugins/all-skills/skills/datadog-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

50%

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

This is a competent but verbose skill that covers Datadog operations comprehensively. Its main strengths are clear workflow sequencing with Required/Optional labels and useful pitfall callouts. Its weaknesses are redundant content (pitfalls repeated, quick reference duplicating workflow sections), lack of fully executable examples, and missing validation checkpoints for destructive operations.

Suggestions

Add concrete, copy-paste-ready MCP tool call examples for at least 2-3 key workflows (e.g., showing exact RUBE_SEARCH_TOOLS and DATADOG_QUERY_METRICS invocations with sample arguments and expected output shapes).

Add explicit validation/confirmation steps for destructive operations—especially DELETE dashboard—such as 'GET the dashboard first to confirm identity, then DELETE, then verify with LIST that it's removed'.

Consolidate the duplicated pitfalls: either keep them inline per workflow OR in the Known Pitfalls section, not both. Remove the quick reference table or the per-workflow parameter listings to reduce redundancy.

Consider splitting detailed per-workflow content into a separate reference file and keeping SKILL.md as a concise overview with links, especially given the document length.

DimensionReasoningScore

Conciseness

The skill is reasonably well-organized but contains significant redundancy—pitfalls are repeated across sections and again in a 'Known Pitfalls' summary, the quick reference table duplicates information already covered in each workflow section, and some parameter listings are verbose given that the skill itself instructs users to call RUBE_SEARCH_TOOLS for current schemas.

2 / 3

Actionability

The skill provides tool names, parameter lists, and some query syntax examples, but lacks fully executable end-to-end examples showing actual MCP tool calls with concrete arguments and expected responses. The monitor query syntax examples are helpful but most workflows remain at the level of listing tool names and parameters rather than showing copy-paste-ready invocations.

2 / 3

Workflow Clarity

Workflows are clearly sequenced with numbered steps and labeled as Required/Optional, which is good. However, destructive operations like DELETE dashboard lack validation/confirmation checkpoints, and there are no feedback loops (e.g., verify after creation, check monitor status after muting). The setup section has a good validation flow but core workflows lack similar rigor.

2 / 3

Progressive Disclosure

The content is a single monolithic file with no bundle files or references to supplementary materials. At ~200 lines covering 6 distinct workflows plus common patterns and a reference table, some content (e.g., detailed widget definitions, advanced query syntax) could be split into separate files. The internal structure with headers is decent but the document is long for a single SKILL.md.

2 / 3

Total

8

/

12

Passed

Description

82%

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

This is a strong description with excellent specificity and distinctive trigger terms tied to the Datadog ecosystem. Its main weakness is the absence of an explicit 'Use when...' clause, which would help Claude know precisely when to select this skill. The procedural note about searching tools first is a nice operational detail but doesn't substitute for trigger guidance.

Suggestions

Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about Datadog monitoring, log searches, metric queries, or managing Datadog resources.'

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'query metrics, search logs, manage monitors/dashboards, create events and downtimes.' Also includes a procedural instruction to 'search tools first for current schemas.'

3 / 3

Completeness

Clearly answers 'what does this do' with specific actions, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The when is only implied by the domain terms.

2 / 3

Trigger Term Quality

Includes strong natural keywords users would say: 'Datadog', 'metrics', 'logs', 'monitors', 'dashboards', 'events', 'downtimes', 'Rube MCP', 'Composio'. These cover the main terms a user working with Datadog would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive due to the specific combination of 'Datadog', 'Rube MCP (Composio)', and domain-specific terms like monitors, dashboards, downtimes. Unlikely to conflict with other skills.

3 / 3

Total

11

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
davepoon/buildwithclaude
Reviewed

Table of Contents

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