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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.

59

Quality

70%

Does it follow best practices?

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SecuritybySnyk

Critical

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

Quality

Content

72%Weight 40%Scale 1-3

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

The content is lean, well-structured, and largely actionable with concrete curl commands across AWS/GCP/Azure, but undefined helper functions and missing validation checkpoints for destructive credential operations keep it from full marks.

Suggestions

Define or remove the `metadata_endpoints()` helper and the `kg_add_node`/`kg_add_edge` functions, or link to the skill that defines them.

Add an explicit validation step after credential extraction (e.g. run `aws sts get-caller-identity` to confirm the creds work before promoting them).

DimensionReasoningScore

Conciseness

The body is dense and assumes Claude's knowledge — no basic explanations of IMDS/SSRF — with lean tables and executable commands where every token earns its place.

3 / 3

Actionability

Most commands are copy-paste ready curl/jq snippets, but the undefined `metadata_endpoints()` helper and the `kg_add_node`/`kg_add_edge` promotion functions are referenced without definition, leaving key pieces incomplete.

2 / 3

Workflow Clarity

Numbered sections give a clear identify→extract→promote sequence, but credential extraction and knowledge-graph promotion are batch/destructive operations with no explicit validation checkpoint (e.g. verify creds before promoting), which caps the score at 2.

2 / 3

Progressive Disclosure

Well-organized into clear numbered sections with one-level, clearly signaled references ('see SSRF skill catalog', 'Pivot to aws-iam-enum/SKILL.md'); no deep nesting or monolithic wall.

3 / 3

Total

10

/

12

Passed

Description

67%Weight 40%Scale 1-3

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 distinct, clearly conveying a cloud IMDS credential-extraction pivot, but it omits an explicit 'Use when...' trigger clause and lacks some common trigger-term variations a user might naturally say.

Suggestions

Add an explicit 'Use when...' clause, e.g. 'Use when you have SSRF, server-side fetch, or RCE on a cloud instance and want to extract credentials or secrets from the metadata endpoint.'

Broaden trigger terms to include natural phrasings like 'instance metadata service', '169.254.169.254', and 'cloud metadata'.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Pivot from SSRF or RCE to cloud Instance Metadata Service (IMDS)' and 'extract IAM role creds, instance identity, user-data secrets' — matching the anchor for several specific concrete actions.

3 / 3

Completeness

The 'what' is strong, but 'when' is only implied via 'Pivot from SSRF or RCE' with no explicit 'Use when...' clause, which per the rubric caps completeness at 2.

2 / 3

Trigger Term Quality

Relevant keywords ('SSRF', 'RCE', 'IMDS', 'IAM role creds', 'user-data') are present but missing common variations a user might say ('metadata service', '169.254.169.254', 'cloud metadata'), so coverage is incomplete.

2 / 3

Distinctiveness Conflict Risk

The IMDS-pivot niche from SSRF/RCE is specific and unlikely to overlap with or trigger other skills.

3 / 3

Total

10

/

12

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.

Validation14 / 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
Reviewed

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