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Review and analyze a Cantina bug bounty report against codebase, docs, audits, scope, and severity
Passed 15 of 19 test cases with the skill, and 9 of 19 without it.
and 13 more in the full report
9 fixed8 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Review a reported issue where an attacker claims cross-chain route parameters can be modified. Provide the top-level summary section of your evaluation.
| Checked | Without skill | With skill |
|---|---|---|
| Presents the summary using heading and text formatting without markdown tables. | Missed | Passed |
| Includes exact bold headings Claim, In scope?, Valid?, Severity, Required conditions, Main gap/risk, and Top 3 manual follow-ups. | Missed | Passed |
The instructions your model reads when the skill loads.
Usage:
/review-bounty-report(then paste the bug bounty report and any platform AI analysis into the chat)
Perform a structured, skeptical review of a Cantina bug bounty submission. Challenge every claim (vulnerability, impact, scope, severity, fix). Use the codebase, docs, audit metadata, and external protocol docs as sources of truth. Output is log only (no file written).
Audit PDFs: The agent cannot read PDFs from the repo. Use audit/auditLog.json to identify relevant audits. If the report concerns an audited contract, list those audit report paths and add a Manual task to open the PDF(s) and check for the same/similar findings. If the user attaches or pastes audit report text, use it in the comparison.
Program reference: https://cantina.xyz/code/260585d8-a3e8-4d70-8077-b6f3f5f0391b/overview
github.com/lifinance/contracts, latest commit, files src/**/*.sol./archive; Lightchaser automated list; duplicates; atomic tx reverts; precision/dust reverts in integrations; third-party protocol bugs; known doc'd issues; test code; user error; theoretical no PoC; under remediation.Impact (by % of daily total user transfers across all EVM chains):
test cases passed, vs 9 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.