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binary-analysis-patterns

Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.

Quality

79%

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tessl review fix ./plugins/reverse-engineering/skills/binary-analysis-patterns/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

61%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 well-organized pattern catalog with mostly concrete, runnable examples and a clear reference split to details.md. Its weaknesses are a substantial amount of entry-level assembly idiom material Claude already knows, a workflow that lacks validation checkpoints, and a couple of stub/fragment code examples.

Suggestions

Cut the sections of assembly idioms Claude already knows (bit set/clear/toggle, strlen/strcpy patterns, lea multiplication-by-constant) and keep only recognition value specific to reverse engineering — or move the full pattern catalog to a references file, leaving SKILL.md as a lean overview.

Add validation checkpoints to the Analysis Workflow, e.g., confirm architecture and file type before applying x86-64 patterns, and cross-check recovered function signatures against callers before renaming.

Remove the meta-commentary from the details.md pointer ("Originally a 2047-byte section ... Codex's 8 KB cap") and either complete or drop the stub `auto_rename` IDAPython function and the unscaffolded Ghidra Java fragment.

DimensionReasoningScore

Conciseness

The format is terse (code with one-line comments, almost no prose padding), but large sections catalog concepts Claude already knows well — bit set/clear/toggle ("or eax, 0x10", "and eax, ~0x10"), strlen/strcpy loops, lea-based multiplication by constants, and basic struct-offset C examples. This is "mostly efficient but includes some unnecessary" known material that could be cut, fitting anchor 3 better than 2 (format is lean, not padded) or 4 (the volume of redundant idiom cataloging goes beyond minor trimming).

3 / 5

Actionability

Mostly concrete and executable: full asm pattern examples, a runnable-ish Ghidra Python scan, and IDAPython helpers. Minor gaps keep it below 5: the Ghidra Java snippet is a fragment without script scaffolding, and the "auto_rename" IDAPython function is a stub ending in `pass`. It is above 3 because the guidance is real code, not pseudocode.

4 / 5

Workflow Clarity

The "Analysis Workflow" section lists a sensible 7-step sequence (triage → strings → function identification → control flow → data structures → algorithms → documentation), but no validation checkpoints are present or implicit (e.g., nothing about confirming architecture before pattern matching or verifying recovered signatures against cross-references). Matches anchor 3: sequence present, checkpoints missing. Not capped lower because analysis is read-only, not destructive/batch.

3 / 5

Progressive Disclosure

Good structure: one clearly signaled, one-level-deep reference (`references/details.md`, verified to exist) plus well-organized inline sections. Minor gaps: only one section is externalized, the pointer carries irrelevant meta-commentary ("Moved ... to fit Codex's 8 KB skill body cap"), and the Ghidra/IDA material could similarly live in reference files. Fits anchor 4 rather than 5 (not all content is appropriately split, pointer wording is noisy) and rather than 3 (the reference that exists is clearly signaled, not buried).

4 / 5

Total

14

/

20

Passed

Description

87%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 strong description with an explicit "Use when..." clause, concrete named capabilities, and well-scoped binary-specific triggers. Its only weaknesses are the mildly promotional "Master" framing and missing common synonyms like "reverse engineering" and tool names (Ghidra/IDA) that users would naturally say.

DimensionReasoningScore

Specificity

Lists several concrete actions — "disassembly, decompilation, control flow analysis, and code pattern recognition" — but coverage has minor gaps: the skill body's substantial Ghidra/IDA scripting and data-structure recovery work is not reflected, and "Master binary analysis patterns" is light buzzword framing. Fits anchor 4 (several specific actions, minor gaps) rather than 5, since comprehensiveness is not quite complete.

4 / 5

Completeness

Explicitly answers both what ("disassembly, decompilation, control flow analysis, and code pattern recognition") and when ("Use when analyzing executables, understanding compiled code, or performing static analysis on binaries") with concrete trigger phrases, matching anchor 5 exactly. It is not anchor 4 because the when-clause is explicit and specific, not merely implied or general.

5 / 5

Trigger Term Quality

Natural trigger phrases are present: "analyzing executables", "understanding compiled code", "static analysis on binaries". However, common synonyms a user would naturally say — "reverse engineering", "reverse engineer this binary", "malware analysis", or tool names like Ghidra/IDA — are missing, so it falls just short of anchor 5's comprehensive synonym coverage.

4 / 5

Distinctiveness Conflict Risk

Clear niche (binary reverse engineering) with every trigger qualified to binaries/executables/compiled code, so minimal conflict risk with other skills. "static analysis" alone could overlap with source-linting skills, but it is explicitly scoped "on binaries", keeping it at anchor 5 rather than 4.

5 / 5

Total

18

/

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

wshobson/agents

Path

plugins/reverse-engineering/skills/binary-analysis-patterns/SKILL.md

Reviewed

Table of Contents

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