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mobile-operator-specialist-methods

Evidence-led mobile operator technical methods and evidence interpretation for the relevant environment.

Quality

59%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./packages/decepticon/decepticon/skills/standard/mobile/specialist-methods/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%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 lean, well-organized interpretive reference that adds genuine non-obvious evidentiary judgment (e.g., 'A key embedded in a bundle may be public by design'). Its weaknesses are the absence of any sequenced workflow with checkpoints and the reliance on unnamed external skills for all executable detail.

Suggestions

Name the delegated skills and sources concretely — e.g. 'Reuse the android-static-analysis and ios-static-analysis skills' and identify where 'the live schema' is consulted — so the pointers are actionable rather than hand-wavy.

Add a minimal ordered procedure with explicit checkpoints, e.g. 1. fingerprint the app (hashes/IDs/signatures) 2. enumerate candidates (exported components, bridges, secrets) 3. confirm reachability before treating as finding 4. attribute captured traffic to app and session.

For each evidentiary limit, state what evidence would satisfy it — e.g. what 'authorized backend evidence and a baseline showing what the key grants' concretely looks like — to convert criteria into verifiable steps.

DimensionReasoningScore

Conciseness

The body is ~25 dense lines with zero padding: it assumes competence ('Tool availability and argument names come from the live schema. Authorization comes from the RoE.') and never re-explains concepts Claude already knows; every token earns its place.

5 / 5

Actionability

It names concrete tools (apktool, jadx, class-dump, Frida, TLS-pinning bypasses) and concrete artifacts to examine (exported components, intent filters, WebView bridges, trust store, root/jailbreak state), but gives no commands, examples, or steps — implementation is delegated to unnamed 'existing technique skills', so guidance describes rather than instructs.

3 / 5

Workflow Clarity

The skill explicitly disclaims defining an order ('they do not define an engagement stage order') and none is given: the static→dynamic sections provide only a topical grouping with no sequenced steps or validation checkpoints, and criteria like 'claimed access needs authorized backend evidence and a baseline' are not framed as verify-steps.

2 / 5

Progressive Disclosure

No references/, scripts/, or assets/ files exist, and this short (<50 line) self-contained note is cleanly organized into two clear sections — but its cross-references ('Reuse existing Android/iOS skills', 'the relevant existing technique skills', 'the live schema') are unnamed and unpathed, a minor navigation gap.

4 / 5

Total

14

/

20

Passed

Description

40%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 anchors a distinct niche but is too vague to act as a trigger: it names no concrete actions, buries its trigger keywords in metadata rather than the description, and omits any 'Use when' guidance. 'for the relevant environment' is padding that adds no information.

Suggestions

Add an explicit trigger clause to the description itself, e.g. 'Use when conducting a mobile operator investigation, interpreting app evidence, or preparing a technical evidence handoff' — currently trigger guidance lives only in metadata.when_to_use.

Replace generic phrasing with 2-3 concrete capabilities, e.g. 'Analyzes APK/IPA artifacts (hashes, signatures, exported components, WebView bridges) and interprets dynamic evidence (Frida hooks, TLS-pinning bypasses, captured traffic)'.

Delete the filler 'for the relevant environment' and include natural user synonyms such as 'investigation', 'mobile app', and 'evidence handoff'.

DimensionReasoningScore

Specificity

The description names the domain ('mobile operator') but the actions are generic — 'technical methods and evidence interpretation' — with no concrete capability named, and 'for the relevant environment' is pure filler.

2 / 5

Completeness

The 'what' is vague ('technical methods and evidence interpretation') and the description contains no 'Use when...' clause or equivalent trigger guidance; per the rubric guideline a missing explicit 'when' caps completeness, and the weak 'what' places it at the low anchor.

2 / 5

Trigger Term Quality

'mobile operator' and 'evidence' are relevant keywords, but common natural phrases users would say ('investigation', 'mobile app analysis', 'APK', 'captured traffic', 'handoff') are missing — several exist only in metadata.when_to_use rather than the description.

3 / 5

Distinctiveness Conflict Risk

The mobile-operator investigation niche is mostly distinct with minor overlap risk against closely related mobile security/app-analysis skills; the generic 'methods/evidence' phrasing prevents a clear-niche score of 5.

4 / 5

Total

11

/

20

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.

Validation — 14 / 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

Path

packages/decepticon/decepticon/skills/standard/mobile/specialist-methods/SKILL.md

Reviewed

Table of Contents

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