CtrlK
BlogDocsLog inGet started
Tessl Logo

aatmf-t15-human-ai-coupling

AATMF T15 — Human-AI Coupling. Deepfake escalation, voice clone vishing, deepfake-image-driven social engineering, automation of human-targeted attacks.

57

Quality

66%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Critical

Do not install without reviewing

Fix and improve this skill with Tessl

tessl review fix ./packages/decepticon/decepticon/skills/plugins/llm-redteam/t15-human-ai-coupling/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

72%

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 well-organized, concise red-team technique taxonomy with concrete named tools and probe tests, but it lacks an explicit sequenced probe workflow with validation checkpoints and leans more descriptive than fully actionable in its technique catalog.

Suggestions

Add a sequenced Probe workflow with validation checkpoints (run probe → check detection threshold → record result) and an explicit feedback loop.

Turn the T15.001–.007 technique bullets from descriptive catalogs into concrete, ordered operational steps where applicable.

Provide one concrete worked example of a probe (input, expected output, detection check) to lift actionability.

DimensionReasoningScore

Conciseness

The body is lean and token-efficient — terse bullets, named tools, and no padding or explanation of concepts Claude already knows; every section earns its place.

3 / 3

Actionability

The Probe pattern section and named tools (ElevenLabs, RVC, Reality Defender, C2PA) plus the yaml config give concrete guidance, but the bulk of T15.001–.007 is descriptive cataloging rather than complete executable procedures.

2 / 3

Workflow Clarity

Sections are well-organized, but there is no sequenced multi-step workflow with validation checkpoints for the probe process, and batch/red-team probing warrants a feedback loop — capping this at 2 per the guidelines.

2 / 3

Progressive Disclosure

The skill is a single self-contained file with clearly labeled sections and only shallow one-level cross-skill pointers (T8/T9, payloads, phishing-operator), with no need for deeper bundle references.

3 / 3

Total

10

/

12

Passed

Description

60%

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 names a clear security-red-team niche, but it omits explicit "Use when" trigger guidance and uses jargon-heavy phrasing that limits trigger-term naturalness and raises overlap risk with adjacent tactics.

Suggestions

Add an explicit 'Use when ...' clause naming natural user triggers (e.g., deepfakes, voice cloning, vishing, AI-driven social engineering).

Soften jargon like 'deepfake-image-driven social engineering' into terms users actually say, and include common variations (deepfakes, voice clones, AI phishing).

Sharpen the niche framing to distinguish T15 from the cross-referenced T8 (deception) and T9 (multimodal) tactics.

DimensionReasoningScore

Specificity

The description lists multiple concrete capability areas — "deepfake escalation, voice clone vishing, deepfake-image-driven social engineering, automation of human-targeted attacks" — matching the anchor for naming several specific concrete actions.

3 / 3

Completeness

It clearly states what the skill covers but has no "Use when..." clause or equivalent explicit trigger guidance, which the guidelines cap at 2.

2 / 3

Trigger Term Quality

Relevant terms like "deepfake," "voice clone vishing," and "social engineering" appear, but the phrasing is jargon-dense ("deepfake-image-driven," "deepfake escalation") and misses common natural variations a user might say.

2 / 3

Distinctiveness Conflict Risk

The T15 niche is somewhat specific, but "deepfake" and "social engineering" overlap with sibling AATMF tactics (T8 deception, T9 multimodal) that are explicitly cross-referenced in the body, so it could still trigger the wrong skill.

2 / 3

Total

9

/

12

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

metadata_version

'metadata.version' is missing

Warning

Total

15

/

16

Passed

Repository
PurpleAILAB/Decepticon
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.