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cloud-recon

Cloud infrastructure enumeration — AWS S3 buckets, Azure blob storage, GCP buckets, cloud metadata endpoints, IAM misconfigurations, CDN origin detection.

61

Quality

73%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./packages/decepticon/decepticon/skills/standard/recon/cloud-recon/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

76%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 content is highly actionable with comprehensive executable commands and sensible progressive disclosure to two real reference files. The main gap is the absence of explicit validation/verification checkpoints in the batch-enumeration workflow.

Suggestions

Add explicit validation steps to the Section 8 workflow (e.g., 'Verify bucket is publicly listable before reporting', 'Confirm a finding by re-fetching the resource') to lift it above the batch-operation cap.

Trim the introductory padding sentence about hybrid infrastructure to improve token efficiency.

Consider moving the large subdomain-pattern and indicator tables into a reference file to deepen progressive disclosure.

DimensionReasoningScore

Conciseness

The body is dominated by executable commands and tables with little concept padding, though the opening sentence ('Modern organizations run hybrid infrastructure — cloud recon is essential...') is mild filler that could be trimmed.

4 / 5

Actionability

Nearly every section provides copy-paste-ready bash/curl commands covering the common cases (bucket discovery loops, ACL checks, CNAME fingerprinting, registry catalog listing), with only reasonable placeholders like <target>.

5 / 5

Workflow Clarity

Section 8 gives a clear 8-step sequence, but the workflow involves batch enumeration and access testing with no explicit validation/verification checkpoints, which caps workflow clarity at 3 per the rubric.

3 / 5

Progressive Disclosure

Two real reference files (cloud-ip-ranges.md, cloud-naming-patterns.md) are clearly signaled one level deep with 'See ... for ...', and numbered sections aid navigation, but the body itself is fairly long with material that could be further split.

4 / 5

Total

16

/

20

Passed

Description

70%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 well-targeted to a distinct cloud-recon niche, with concrete enumerated targets and natural trigger terms. Its main weakness is the absence of an explicit 'Use when' trigger clause, which limits completeness.

Suggestions

Add an explicit 'Use when ...' clause listing natural trigger phrases (e.g., 'Use when enumerating cloud assets, finding exposed S3/Azure/GCP buckets, or detecting CDN origins').

Introduce a second action verb beyond 'enumeration' (e.g., 'detect', 'test for public access') to broaden the specificity of actions.

Add common synonyms/extensions such as '.s3.amazonaws.com', 'cloud storage', or 'bucket takeover' to round out trigger-term coverage.

DimensionReasoningScore

Specificity

Names the domain and concrete targets — 'AWS S3 buckets, Azure blob storage, GCP buckets, cloud metadata endpoints, IAM misconfigurations, CDN origin detection' — though 'enumeration' is the single action verb applied across them, leaving minor coverage gaps.

4 / 5

Completeness

Provides a clear and fairly comprehensive 'what', but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Includes natural terms users would say ('S3 bucket', 'Azure blob', 'CDN origin', 'cloud metadata') with good coverage, but a few common synonyms/extensions are absent.

4 / 5

Distinctiveness Conflict Risk

Occupies a clear niche (multi-cloud asset enumeration) with provider-specific triggers, making it unlikely to fire for unrelated skills.

5 / 5

Total

16

/

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.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
PurpleAILAB/Decepticon
Reviewed

Table of Contents

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