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hunt-nosqli

Hunt NoSQL Injection — MongoDB operator injection ($where, $regex, $gt, $ne), CouchDB, Redis command injection, auth bypass via NoSQLi, data dump. Use when target uses MongoDB/Mongoose, CouchDB, Redis, or shows NoSQL error messages.

76

Quality

95%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

90%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 body is a tight, highly actionable hunting playbook with copy-paste commands, sequenced phases, and a validation section. It loses a point on workflow_clarity (no explicit failure-recovery loops) and progressive_disclosure (monolithic single file with no reference split).

Suggestions

Add brief 'if this fails / no delay observed, try next' recovery guidance after the time-based $where detection so the workflow has explicit feedback loops.

Move the Redis-via-SSRF and nosqlmap automation sections into a references/ file, leaving the core injection phases inline, to better practice progressive disclosure.

Cross-link the Validation section back into each phase (e.g., 'then verify per Validation') so checkpoints are inline rather than only at the end.

DimensionReasoningScore

Conciseness

Lean, command-and-table heavy body with no padding or explanation of concepts Claude already knows; every section (signals, phases, bypass/chain tables) earns its tokens.

5 / 5

Actionability

Copy-paste ready curl commands across all phases (auth bypass, URL param injection, $where blind, regex data dump, nosqlmap, Redis gopher) cover the common cases with executable syntax.

5 / 5

Workflow Clarity

Phases 1–6 are clearly sequenced and a Validation section provides confirmation checkpoints, so the destructive-operation cap does not apply; however explicit per-phase 'if X fails, do Y' recovery loops are absent.

4 / 5

Progressive Disclosure

No bundle files exist and the body is a single well-sectioned document; organization is good but at ~160 lines some material (e.g., Redis/automation details) could be split into references.

4 / 5

Total

18

/

20

Passed

Description

100%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 a strong, third-person statement that names concrete actions and store-specific operators plus an explicit 'Use when' trigger clause. It answers what and when with minimal padding and low conflict risk.

DimensionReasoningScore

Specificity

Lists multiple concrete actions across the domain — 'MongoDB operator injection ($where, $regex, $gt, $ne), CouchDB, Redis command injection, auth bypass via NoSQLi, data dump' — with named operators and stores, giving comprehensive coverage.

5 / 5

Completeness

Explicitly answers both 'what' (the injection/dump actions) and 'when' ('Use when target uses MongoDB/Mongoose, CouchDB, Redis, or shows NoSQL error messages').

5 / 5

Trigger Term Quality

Natural trigger terms users would say are all present: 'MongoDB/Mongoose, CouchDB, Redis' plus 'NoSQL error messages'; these match the vocabulary a user invokes when needing this skill.

5 / 5

Distinctiveness Conflict Risk

Clear niche (NoSQL injection against specific named stores) with distinct triggers; minimal overlap with SQLi or other skills.

5 / 5

Total

20

/

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

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
elementalsouls/Claude-BugHunter
Reviewed

Table of Contents

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