bounty-hunting-methodology

Bug bounty white-box hunting methodology. Load when the target is an open-source project with a security advisory program, bug bounty, or responsible disclosure policy.

Quality

95%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, actionable methodology with concrete commands, a clearly sequenced workflow, and an explicit validation feedback loop, all organized into well-signaled sections without token waste.

Dimension	Reasoning	Score
Conciseness	The body is lean and signal-dense — it never explains basic concepts Claude already knows (e.g. what RCE or a CVSS vector is) and every section earns its tokens, matching the score-3 'Lean and efficient' anchor.	3 / 3
Actionability	Provides executable commands (`find /workspace/target ...`, `kg_add_node(...)`, `validate_finding`, `semgrep`/`grep`) and concrete report-title examples with good/bad pairs, matching the score-3 'Fully executable code/commands' anchor.	3 / 3
Workflow Clarity	Steps 1-5 are explicitly sequenced, and Step 5 includes a validation feedback loop ("Every finding MUST go through validate_finding... If you cannot reproduce it, it is NOT a finding"), satisfying the score-3 anchor for clear sequence with explicit validation steps.	3 / 3
Progressive Disclosure	No bundle files exist; the skill is a single, well-organized SKILL.md with clear section headers and no nested/broken references, so per the simple-skill scoring note well-organized sections suffice for a 3.	3 / 3
	Total	12 / 12 Passed

Description

90%

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 concise, third-person description with explicit trigger guidance and natural user terms; its only weakness is that it describes the methodology at a high level rather than enumerating concrete actions.

Suggestions

Add 2-3 concrete actions to the description (e.g. 'map trust boundaries, trace source-to-sink data flows, and submit validated PoCs') to lift specificity from 2 to 3.

Dimension	Reasoning	Score
Specificity	Quotes "Bug bounty white-box hunting methodology" — it names the domain and activity but does not list multiple concrete actions (e.g. tracing data flows, writing PoCs), matching the score-2 anchor 'Names domain and some actions, but not comprehensive'.	2 / 3
Completeness	States what ("Bug bounty white-box hunting methodology") and an explicit when ("Load when the target is an open-source project with a security advisory program, bug bounty, or responsible disclosure policy"), satisfying the score-3 anchor for both what AND when with explicit triggers.	3 / 3
Trigger Term Quality	"security advisory program, bug bounty, or responsible disclosure policy" are natural terms a user would say, giving good coverage; not score 2 because common variations are present rather than missing.	3 / 3
Distinctiveness Conflict Risk	The combination of bug bounty, security advisory program, and responsible disclosure policy is a clear niche with distinct triggers unlikely to fire for unrelated skills.	3 / 3
	Total	11 / 12 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
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: PurpleAILAB/Decepticon
Path: packages/decepticon/decepticon/skills/standard/analyst/bounty-hunting/SKILL.md
Commit: e34afba

Reviewed: about 16 hours ago

Table of Contents

Discovery Implementation Validation

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