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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.

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/datadog-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

65%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.

A highly actionable, well-structured reference for driving Datadog via MCP tools, with concrete sequences and copy-paste syntax. Its weaknesses are duplicated/filler sections, a missing validation step before irreversible deletes, and a monolithic single-file layout that external references would relieve.

Suggestions

Add an explicit validation checkpoint before destructive operations, e.g. for dashboards: call DATADOG_GET_DASHBOARD first and confirm with the user before DATADOG_DELETE_DASHBOARD.

Remove the redundant 'Known Pitfalls' section (timestamps and query syntax are already covered per-workflow) and delete the filler '## When to Use' paragraph to tighten token usage.

Move the Quick Reference table and per-workflow parameter/pitfall details into a references/ file (e.g. references/tools.md), keeping SKILL.md as a lean overview with one-level-deep pointers.

DimensionReasoningScore

Conciseness

The per-workflow structure is mostly efficient, but the 'Known Pitfalls' section duplicates pitfalls already stated per-workflow (timestamps, query syntax), and '## When to Use' is pure filler ('This skill is applicable to execute the workflow or actions described in the overview'). This is more than the minor trimming of the score-4 anchor but well short of the severe padding of score 2.

3 / 5

Actionability

Guidance is fully executable for this skill type: exact tool names, ordered sequences with [Required]/[Optional] markers, parameter lists, and copy-paste syntax examples ('avg(last_5m):avg:system.cpu.user{env:prod} > 90'), with live schema lookup correctly delegated to RUBE_SEARCH_TOOLS. Specific examples cover the common metric, log, and tag-filtering cases.

5 / 5

Workflow Clarity

Workflows are clearly sequenced and setup includes connection verification, but the irreversible DATADOG_DELETE_DASHBOARD operation has only a warning ('DELETE is permanent; there is no undo') and no validation checkpoint before executing (e.g., get the dashboard and confirm with the user first). Per the guideline, missing validation for destructive operations caps workflow clarity at 3.

3 / 5

Progressive Disclosure

Sections are well-organized with clear headers, but this is a ~230-line monolithic SKILL.md with all detail inline — including a 20-row quick-reference table and per-domain parameter/pitfall documentation — and no bundle files. The under-50-line simple-skill exception does not apply, and the content could be split into reference files, matching the score-3 anchor of content that should be separate remaining inline.

3 / 5

Total

14

/

20

Passed

Description

75%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, specific description with comprehensive action coverage and a clear niche, written in proper third-person voice. Its one real weakness is the missing 'Use when...' trigger clause, which caps completeness and leaves invocation guidance implicit.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when the user mentions Datadog, wants to query metrics or search logs, or needs to manage monitors, dashboards, downtimes, or events.'

Include natural synonyms and adjacent terms users say, such as 'observability', 'alerting', 'hosts', and 'traces', to broaden trigger coverage to match the body's actual scope.

Replace or supplement the operational sentence 'Always search tools first for current schemas' with trigger-oriented language, since it reads as instructions rather than describing when to invoke the skill.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions covering the domain comprehensively ('query metrics, search logs, manage monitors/dashboards, create events and downtimes'), matching the score-5 anchor of multiple specific concrete actions. It stays in third-person imperative voice throughout.

5 / 5

Completeness

The 'what' is explicit and concrete, but there is no 'Use when...' clause or equivalent trigger guidance; 'Always search tools first for current schemas' is operational instruction, not a when-trigger. Per the judging guideline, a missing 'Use when...' clause caps completeness at 3 — a clear 'what' with 'when' absent.

3 / 5

Trigger Term Quality

Natural user terms like 'Datadog', 'metrics', 'logs', 'monitors', 'dashboards', and 'downtimes' are present, but a few natural terms are missing (e.g., 'observability', 'alerting', 'hosts', 'traces' — the latter two are covered in the body but not the description). This fits the score-4 anchor of good keyword coverage with a few natural terms missing rather than score 5's comprehensive synonym coverage.

4 / 5

Distinctiveness Conflict Risk

'Datadog via Rube MCP (Composio)' names a specific product and integration path, giving a clear niche with distinct triggers and minimal conflict risk with other skills. Not score 4 because there is no meaningful overlap with closely related skills — the product naming fully disambiguates.

5 / 5

Total

17

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository

administrakt0r/AI-Agents-Safe-Coding-Skills

Path

skills/datadog-automation/SKILL.md

Reviewed

Table of Contents

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