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imds-pivot

Pivot from SSRF or RCE to cloud Instance Metadata Service (IMDS) — extract IAM role creds, instance identity, user-data secrets.

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Critical

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Fix and improve this skill with Tessl

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

Quality

Content

82%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, token-efficient reference with concrete commands across AWS, GCP, and Azure, well-sequenced with an explicit IMDSv2 failure boundary. Structure is good but the single-file density and unresolved cross-skill references leave modest room for progressive disclosure.

DimensionReasoningScore

Conciseness

Dense tables and copy-paste commands with no explanation of concepts Claude already knows. Minor redundancy (endpoint URLs repeated between the §1 table and §2–5 commands) and tangential sections (CVSS, defender remediation, exemplars) keep it below the lean-anchor 5.

4 / 5

Actionability

Fully executable, copy-paste-ready curl commands for AWS IMDSv1/v2, GCP, and Azure, plus concrete bypass encodings ('2852039166', '0xA9FEA9FE', '169.254.169.0254') and jq/env export steps covering the common cases.

5 / 5

Workflow Clarity

Clearly sequenced 1–8 (identify provider → extract → bypass filters → promote) with a verification checkpoint (aws sts get-caller-identity) and an explicit failure boundary in §7. Not 5 because error-recovery guidance for partial failures (e.g., empty token, 401 responses) is absent.

4 / 5

Progressive Disclosure

Well-organized sections with clear headers and no bundle files to manage, but ~180 lines of dense per-cloud reference plus defender/CVSS/exemplar content could be split into reference files; cross-skill pointers ('Pivot to aws-iam-enum/SKILL.md', 'SSRF skill catalog') are not clearly resolved one-level-deep references.

4 / 5

Total

17

/

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.

A specific, distinctive description with strong concrete actions and natural trigger terms. Its main weakness is the missing explicit 'Use when...' trigger guidance within the description field itself, which caps completeness.

Suggestions

Append an explicit trigger clause to the description, e.g., 'Use when you have SSRF or RCE on a cloud instance and need to extract IAM role credentials or instance metadata.'

Add natural trigger variations users commonly say — 'metadata endpoint', '169.254.169.254', 'cloud credentials' — to broaden keyword coverage.

Mention what the extracted credentials enable (e.g., cloud API access as the account/role) to make the capability set more comprehensive.

DimensionReasoningScore

Specificity

Names the domain (SSRF/RCE to IMDS pivot) and several concrete actions — 'extract IAM role creds, instance identity, user-data secrets' — but coverage is not fully comprehensive (no mention of using the extracted tokens against cloud APIs or cross-cloud bypass). Not 5 because several capabilities are absent; not 3 because more than 1-2 specific actions are listed.

4 / 5

Completeness

The 'what' is clear and concrete, but the description field contains no 'Use when...' clause or equivalent explicit trigger guidance (the when_to_use string lives in separate metadata, not the description), which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Good natural keywords users would say: 'SSRF', 'RCE', 'IMDS', 'IAM role creds', 'user-data'. A few common variations are missing (e.g., 'metadata endpoint', '169.254.169.254', 'credentials'), so it falls just short of the comprehensive-synonym anchor.

4 / 5

Distinctiveness Conflict Risk

A clear niche — pivoting from SSRF/RCE to the cloud metadata service — with distinct triggers (IMDS, IAM creds, user-data) and minimal overlap risk with adjacent skills; no vaguer anchor fits better.

5 / 5

Total

16

/

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.

Validation — 14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository

PurpleAILAB/Decepticon

Path

packages/decepticon/decepticon/skills/standard/cloud/imds-pivot/SKILL.md

Reviewed

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