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sast-businesslogic

Detect business logic vulnerabilities in a codebase using a three-phase approach: threat modeling (domain analysis and attack scenarios), batched verify (check exploitable gaps in parallel subagents, 3 scenarios each), and merge (consolidate batch results). Covers price manipulation, workflow bypass, limit violations, race conditions, reward abuse, etc. Requires sast/architecture.md (run sast-analysis first). Outputs findings to sast/businesslogic-results.md. Use when asked to find business logic, logic flaws, or abuse-of-function bugs.

72

Quality

88%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

77%

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

A highly actionable, clearly sequenced orchestration skill with excellent workflow guidance and verification built in. Its main weaknesses are token efficiency (length, conceptual framing, and duplicated exclusion lists) and a lack of progressive disclosure into separate reference files.

Suggestions

Move the 12-category attack reference and/or the full subagent prompt templates into a references/ file (e.g. ATTACK-CATEGORIES.md, SUBAGENT-PROMPTS.md) and link to them from the body, reducing the monolithic inline content and improving progressive_disclosure.

Remove the conceptual 'What Business Logic Vulnerabilities ARE/are NOT' framing or compress it to a few scoping bullets, since Claude already knows these concepts; rely on the attack categories to convey scope.

De-duplicate the 'what business logic flaws are NOT' exclusion list and the attack-category checklist that currently appear both in the main body and again inside the subagent prompt blockquotes, keeping each in one canonical location.

DimensionReasoningScore

Conciseness

The body is mostly efficient and actionable, but at ~360 lines it includes conceptual ARE/NOT framing Claude largely already knows and duplicates the 'what business logic flaws are NOT' exclusion list and attack-category checklist between the main body and the Phase 2/Phase 1 subagent prompts, so it could be tightened.

2 / 3

Actionability

It provides fully copy-paste-ready subagent prompts in blockquotes, exact markdown output templates, a concrete batching procedure with worked examples (8 scenarios to 3 batches), and explicit file names and classification labels.

3 / 3

Workflow Clarity

The three phases are explicitly sequenced with stated dependencies ('Phase 2 must run after Phase 1'), Phase 2 itself is a verification step, the Exploitable/Likely/Not/Needs-Review classification acts as a validation gate, and the 'Important Reminders' section serves as a checklist.

3 / 3

Progressive Disclosure

No bundle files exist and all content — the 12 attack-category reference list and the long subagent prompt templates — is inline in a single 360-line file, so content that could be split into reference files is instead monolithic.

2 / 3

Total

10

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12

Passed

Description

100%

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 description: third-person voice, concrete actions, natural trigger terms, and an explicit 'Use when...' clause that clearly distinguishes it from adjacent security skills. No significant weaknesses to address.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions: 'Detect business logic vulnerabilities', 'threat modeling (domain analysis and attack scenarios)', 'batched verify', and 'merge (consolidate batch results)', matching the score-3 anchor of multiple specific concrete actions.

3 / 3

Completeness

It explicitly answers both 'what' (three-phase detection approach and coverage areas) and 'when' via an explicit 'Use when...' trigger clause, so it is not capped at 2.

3 / 3

Trigger Term Quality

It closes with 'Use when asked to find business logic, logic flaws, or abuse-of-function bugs', giving good coverage of natural terms a user would actually say.

3 / 3

Distinctiveness Conflict Risk

Business logic vulnerability detection is a clear niche with distinct triggers, and the description's scoping (price manipulation, workflow bypass, etc.) makes overlap with injection/auth skills unlikely.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
utkusen/sast-skills
Reviewed

Table of Contents

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