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verify-fix

Verify whether a reported vulnerability is fixed in the current code without changing repository files. Trace the original attack path, examine possible bypasses and legitimate behavior, and return an evidence-based verdict for each supplied finding.

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原文查看原文说明

Use only when the user explicitly requests verification that a security fix remediates a reported vulnerability. Do not invoke automatically while implementing fixes, reviewing ordinary code changes, or running tests. Do not use for non-security fixes, candidate finding validation, or full repository scans.

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适用场景

  • Verify remediation of a reported vulnerability
  • Check for bypasses around a security fix
  • Verify a fix after code moves or refactoring
  • Identify evidence gaps that prevent a verdict

包含的文件(2)

  • SKILL.md3.0 KB
  • agents/openai.yaml235 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Verify Fix

When to Use

Invoke this skill only for an explicit request to verify a security fix, including a direct $verify-fix invocation. A request to implement a fix or run its tests does not by itself request this skill. For other tasks, follow the user's requested workflow and response format without applying this skill's JSON result contract.

Objective

Determine whether each supplied security finding has been fixed in the current checkout. Operate in standalone verification-only mode; do not create, modify, or delete repository files, apply patches, commit changes, write artifacts, or modify issue trackers.

Assessment Method

Use ../../references/static-finding-assessment.md to identify the original attacker-controlled source, security control, sensitive sink, reachable path, trust boundary, counterevidence, and proof gaps. If the caller already supplied that reference in the prompt, use the supplied contents without reading it again.

Verification Workflow

  1. Establish the original vulnerability, its preconditions, affected security boundary, and legitimate behavior that must continue to work.
  2. Confirm the current checkout contains the affected component. Follow moved or refactored code rather than treating a missing file, removed line, or changed function name as proof of remediation.
  3. Trace the original exploit path through the current implementation and check the nearest relevant control, equivalent paths, and plausible bypasses.
  4. Run the original reproducer, focused regression checks, or legitimate-behavior checks only when they can run without modifying the repository. Preserve exact static evidence when runtime checks are unavailable.
  5. Return one result per supplied finding, in the requested order. Treat closed tickets, unrelated passing tests, and the absence of a new scan finding as insufficient proof.

Result Contract

Return exactly one JSON object:

{
  "results": [
    {
      "id": "finding-or-issue-id",
      "status": "fixed|still_vulnerable|inconclusive",
      "evidence": "specific current source, exploit, test, or proof-gap evidence"
    }
  ]
}
  • Use fixed only when evidence proves the original security boundary is closed and legitimate behavior remains intact.
  • Use still_vulnerable only when evidence proves the original vulnerable path remains reachable.
  • Use inconclusive for a repository mismatch, missing original context, unavailable relevant checks, an unproven legitimate control, or another material proof gap.

Never infer a stronger verdict by weakening the read-only boundary, substituting a different vulnerability, or hiding missing evidence.

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同一仓库的技能

Assess a fixed patch or pull request diff before merging. Trace affected behavior, evaluate regression risks, tests, and recovery options, then provide an evidence-based recommendation and advisory automatic-merge eligibility without modifying or merging the patch.

中文简介正在准备中。当前显示英语简介。

  • Assess a generated patch before merging
  • Trace how a pull request affects production behavior
  • Evaluate tests and rollback options
openai/codex-security1.1万2026年10月18日 更新

Trace a security finding from an attacker’s entry point to its impact using repository evidence. Examine access, permissions, existing defenses, and counterevidence to assess severity and decide whether the finding warrants reporting.

中文简介正在准备中。当前显示英语简介。

  • Trace how an attacker could exploit a finding
  • Reassess severity against existing defenses
  • Check counterevidence before reporting
openai/codex-security1.1万2026年10月18日 更新

Read existing findings, reports, recorded assignments, verification results, and scan status from a connected Codex Security Cloud account. Summarize available evidence and distinguish missing information from confirmed outcomes without changing Cloud data.

中文简介正在准备中。当前显示英语简介。

  • Inspect a finding from its Cloud link
  • List findings by severity or recorded assignee
  • Review saved validation and patch check reports
openai/codex-security1.1万2026年10月18日 更新

Run repeated, independent security reviews of an entire repository or a selected directory. The skill combines validated findings and coverage records into a final report, helping reduce variation between individual reviews.

中文简介正在准备中。当前显示英语简介。

  • Reviewing an entire repository through repeated security audits
  • Running an intensive review of a selected directory
  • Combining validated findings and coverage into one report
openai/codex-security1.1万2026年10月18日 更新

Create or review SECURITY.md guidance so Codex Security understands what to examine, which protections must hold, and what is excluded. Compare existing policies with repository evidence and preview proposed changes before writing.

中文简介正在准备中。当前显示英语简介。

  • Define security review scope for a repository
  • Document required security protections
  • Check whether existing guidance matches the code
openai/codex-security1.1万2026年10月18日 更新

Inspect repository code or code changes for plausible security vulnerabilities. The skill records candidate issues with affected locations, attacker-controlled inputs, failing safeguards, and possible impact, preserving the evidence needed for later validation.

中文简介正在准备中。当前显示英语简介。

  • Finding security issues that may arise from code changes
  • Investigating vulnerability candidates in repository code
  • Organizing source evidence for later validation
openai/codex-security1.1万2026年10月18日 更新

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