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oauth

OAuth 2.0 / OIDC attacks — redirect_uri bypass, state CSRF, code leak via Referer, response_type confusion, PKCE downgrade, scope creep, ATO chains.

63

Quality

75%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./packages/decepticon/decepticon/skills/standard/exploit/web/oauth/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

76%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 highly actionable, well-structured offensive OAuth playbook with concrete payloads and commands; its main weaknesses are implicit validation checkpoints in the PoC workflow and heavy inlining of attack classes that could be externalized.

Suggestions

Add an explicit validation/reproducibility checkpoint to the PoC pattern (e.g. "Re-run the full chain end-to-end and confirm tokens are issued before reporting"), turning step 3 into a verify→fix→retry loop.

Move the detailed bypass payload table and per-class writeups into a reference file (e.g. references/redirect_uri_bypasses.md) and keep SKILL.md as an overview that links out, improving progressive disclosure.

DimensionReasoningScore

Conciseness

The body is mostly lean — tables, terse payload listings, and code blocks — but the opener ("the single highest-paying ATO vector in modern bug bounty") and a few prose explanations are mild padding that could be trimmed.

4 / 5

Actionability

It provides copy-paste-ready payloads (the redirect_uri bypass table), an executable curl discovery command, concrete POST /token request bodies, named tools, and a numbered PoC pattern covering common cases.

5 / 5

Workflow Clarity

A clear sequence exists (Map flow → Attack surface → PoC pattern) and "on any deviation — capture as evidence" is a soft checkpoint, but there is no explicit validation/reproducibility feedback loop before reporting, leaving checkpoints implicit.

3 / 5

Progressive Disclosure

Content is well-sectioned with clearly signaled one-level cross-references (ato-methodology, open-redirect, jwt/SKILL.md, upstream catalog); the main gap is that all ten attack classes are inlined in SKILL.md rather than split into reference files.

4 / 5

Total

16

/

20

Passed

Description

75%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 highly specific, distinctive description that names concrete OAuth/OIDC attack classes, but it lacks any explicit "Use when" trigger guidance, which limits its completeness score.

Suggestions

Append an explicit trigger clause, e.g. "Use when testing OAuth 2.0/OIDC flows, authorization_code grants, or when the user mentions redirect_uri, state, PKCE, or ATO via OAuth."

Add a couple of natural-language synonyms (e.g. "OAuth login", "social sign-in", "OpenID Connect") alongside the technical parameter names to broaden trigger coverage.

DimensionReasoningScore

Specificity

The description enumerates seven concrete attack classes ("redirect_uri bypass, state CSRF, code leak via Referer, response_type confusion, PKCE downgrade, scope creep, ATO chains"), giving comprehensive coverage rather than a single generic action.

5 / 5

Completeness

The "what" is explicit and detailed, but there is no "Use when..." clause or equivalent trigger guidance, which per the rubric caps completeness at 3.

3 / 5

Trigger Term Quality

It surfaces relevant terms a bug-bounty user would say ("OAuth 2.0", "OIDC", "PKCE", "redirect_uri", "scope creep", "ATO"), but the phrasing is jargon-dense and omits common synonyms or a natural "Use when" phrasing.

4 / 5

Distinctiveness Conflict Risk

"OAuth 2.0 / OIDC attacks" with named parameters like redirect_uri and PKCE carves a clear niche with distinct triggers and minimal overlap with other skills.

5 / 5

Total

17

/

20

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

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