analyzing-cobaltstrike-malleable-c2-profiles

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

Quality

75%

Does it follow best practices?

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Securityby

High

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tessl review fix ./skills/analyzing-cobaltstrike-malleable-c2-profiles/SKILL.md

Quality

Content

57%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 well-structured and reasonably concise, but it stays at a high-level procedural description without inline executable examples, validation checkpoints, or explicit pointers to the existing reference and script bundle files.

Suggestions

Add an explicit, clearly signaled pointer to references/api-reference.md and scripts/agent.py in the body (e.g., 'See [api-reference.md](references/api-reference.md) for full API usage') so navigation is one level deep.

Include at least one complete, copy-paste-ready code snippet in the body for the core parse-and-extract flow, rather than only an inline method call in step 2.

Insert a validation/verification checkpoint (e.g., confirm extracted indicators against the source profile, or validate generated Suricata rules with suricata -T) before the final 'Produce detection report' step.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient and assumes domain knowledge, with only minor over-explanation in the Overview and Prerequisites sections that could be trimmed; not yet as lean as the score-5 anchor.	4 / 5
Actionability	Steps are concrete in intent and step 2 gives an inline API call, but the body contains no complete executable code block—the runnable code lives in references/scripts that are not shown or clearly linked from the steps, leaving guidance incomplete.	3 / 5
Workflow Clarity	Ten steps are clearly sequenced, but there are no validation or verification checkpoints before producing the detection report; per the rubric, a batch/output workflow lacking validation is capped at 3.	3 / 5
Progressive Disclosure	Bundle files (references/api-reference.md, scripts/agent.py) exist and hold the detail, but the body never explicitly signals or links them, so navigation to those materials is implicit rather than clearly one-level-deep.	3 / 5
	Total	13 / 20 Passed

Description

92%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 specific, complete, and well-targeted, naming concrete tools and actions plus an explicit 'Use when' trigger clause. Its only gap is slightly limited synonym/file-extension coverage in trigger terms.

Dimension	Reasoning	Score
Specificity	Names the two libraries (dissect.cobaltstrike, pyMalleableC2) and enumerates many concrete actions—parsing profiles and beacon configs, extracting HTTP/DNS transforms, URIs, headers, sleep/jitter, injection behavior, and generating detection signatures—matching the comprehensive-coverage anchor.	5 / 5
Completeness	Explicitly answers what it does (parse/analyze/extract/generate signatures) and when to use it ('Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic'), satisfying both halves with concrete triggers.	5 / 5
Trigger Term Quality	Includes natural user phrases like 'reverse-engineering a captured malleable profile', 'building detections', and 'Cobalt Strike Beacon traffic', but lacks some common synonyms or file extensions that would push it to comprehensive coverage.	4 / 5
Distinctiveness Conflict Risk	A clear niche—Cobalt Strike malleable profile analysis—anchored by specific library names and distinctive triggers, giving it minimal overlap risk with other skills.	5 / 5
	Total	19 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: mukul975/Anthropic-Cybersecurity-Skills
Path: skills/analyzing-cobaltstrike-malleable-c2-profiles/SKILL.md
Commit: 9429fe9

Reviewed: 2 days ago

Table of Contents

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