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breach

Designing red team attack scenarios, threat models, MITRE ATT&CK/OWASP application, Purple Team exercises, and AI/LLM red teaming. Use when adversarial security validation is needed.

Quality

76%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./breach/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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 densely informative, well-structured agent spec with strong dispatch logic, explicit routing boundaries, and a clear phase workflow. Its weaknesses are recurring repetition of the same AI-security points across sections, pervasive version/date-sensitive claims, and a Reference Map that points entirely to files not present in the bundle.

Suggestions

Deduplicate the MCP-server-compromise and agentic-testing points that recur across the CAPABILITIES_SUMMARY comment, Trigger Guidance, Core Contract, Boundaries, and Anti-Patterns sections — state each once canonically and cross-reference as done for AP-9/AP-17.

Consolidate time-sensitive version and date information (ATT&CK v19 counts, ATLAS release cadence, EU AI Act enforcement dates, OWASP edition years) into a single framework-versions section so it can be checked and updated in one place.

Ship the referenced files (reference/*.md and _common/*.md) with the skill, or inline the small amount of critical content (e.g., the three INTERACTION_TRIGGER question templates and the AUTORUN output schema) so the skill is self-contained when the bundle is absent.

DimensionReasoningScore

Conciseness

The body is dense with non-obvious operational signal (multi-turn jailbreak statistics, CVSS 4.0 metric groups, MAESTRO layers) and assumes Claude's competence, but it could be tightened: the HTML CAPABILITIES_SUMMARY block re-states body content, MCP/agentic points recur across four or more sections, and version/date-sensitive details (ATT&CK v19, EU AI Act dates, ATLAS "monthly release cadence 2025+") are woven throughout rather than isolated. Mostly efficient with unnecessary repetition — anchor 3.

3 / 5

Actionability

Concrete, executable agent guidance throughout: a subcommand token allowlist with dispatch rules, routing tables for out-of-scope tasks, per-phase required actions with designated references, explicit defaults when the user does not choose, and an 18-row anti-pattern table with checks and fixes. Minor gaps ("estimate complexity" is underspecified) keep it at anchor 4 rather than 5.

4 / 5

Workflow Clarity

SCOPE → MODEL → PLAN → EXECUTE → REPORT is clearly sequenced with a per-phase table of required action, key rule, and reference to read, plus gates like "No scope = no attack" and a SEVERITY_DISPUTE interaction trigger. No explicit validate→fix→retry feedback loop exists, though the skill designs tests rather than executing destructive operations, so the workflow cap does not apply — anchor 4.

4 / 5

Progressive Disclosure

In-body structure is strong — a one-level-deep Reference Map with "Read this when" conditions, clearly signaled section pointers, and a recipes-index indirection — but the bundle contains no reference files: every cited path (reference/threat-modeling.md, reference/attack-playbooks.md, reference/ai-red-teaming.md, _common/*.md, and others) is absent from the actual bundle, leaving all navigation dangling. Good signaling undermined by unverifiable references — anchor 3.

3 / 5

Total

14

/

20

Passed

Description

78%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 well-formed description with concrete third-person capabilities and an explicit Use-when clause. Its main weaknesses are an abstract trigger condition ("adversarial security validation") and missing common synonyms like penetration testing, which cap trigger quality and completeness below the top anchor.

DimensionReasoningScore

Specificity

"Designing red team attack scenarios, threat models, MITRE ATT&CK/OWASP application, Purple Team exercises, and AI/LLM red teaming" lists several concrete actions, though "MITRE ATT&CK/OWASP application" is generic and capabilities like attack surface analysis and control validation are only implied. Matches anchor 4 (several specific actions, minor gaps) rather than 5, which demands comprehensive coverage.

4 / 5

Completeness

The "what" is concrete (scenario design, threat models, purple team exercises, AI/LLM red teaming) and the "when" is explicit ("Use when adversarial security validation is needed"), but the when-clause is abstract rather than concrete trigger phrases. Fits anchor 4 (both present; 'when' could be more explicit), not 5.

4 / 5

Trigger Term Quality

Strong natural terms ("red team", "threat model", "purple team", "AI/LLM red teaming") plus framework keywords users would say, but common synonyms like "penetration testing", "pentest", and "security testing" are missing. Anchor 4 (good coverage, a few natural terms missing).

4 / 5

Distinctiveness Conflict Risk

Red-team engineering is a clear niche with distinct triggers (purple team, threat modeling frameworks, adversarial validation) that would not fire for general security, scanning, or compliance skills. Matches anchor 5 (clear niche, minimal conflict risk).

5 / 5

Total

17

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

simota/agent-skills

Path

breach/SKILL.md

Reviewed

Table of Contents

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