菜单
Publish a security report, runbook, threat model, or assessment writeup to Confluence — correct space/parent, consistent page structure, labels, and links back to related issues/pages. Use when a finished document needs to live in the team wiki, not just a local file.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Statically review a Claude Code / AI-agent setup for security misconfigurations — risky hooks, over-broad permissions, untrusted or cleartext MCP servers, hardcoded secrets, endpoint redirection, over-privileged agents/skills, and prompt-injection in steering files. Use when asked to audit a `.claude/` directory, `settings.json`, `.mcp.json`, a plugin/marketplace, or `CLAUDE.md`, or to add a config-security gate to CI. Drives the `agentscanner` CLI.
Review the training / MLOps pipeline for security weaknesses — data-poisoning surface, feature-store and data-source trust, experiment-tracking and model-registry access control, secrets, and reproducibility/provenance. Use when assessing how models are built and promoted, not how they're served or consumed.
Review the provenance and integrity of models, datasets, and ML artifacts pulled from hubs/registries — unsafe deserialization (pickle, PyTorch/Keras/joblib), untrusted model sources, model/dataset tampering, and signing. Use when an app loads third-party model weights or datasets, or before promoting a model.
Harden a deployed model inference endpoint — authn/authz, rate limiting and abuse control, input validation, and exposure to model-extraction / inversion / membership-inference attacks. Use when reviewing how a model is served (REST/gRPC, Triton/TorchServe/KServe, or a hosted inference API), not how it was trained.
Export a finished security artifact (report, executive summary, diagram, spreadsheet of findings) to Google Drive — right folder, clear naming, and shareable with the intended audience. Use when a deliverable needs to be handed to stakeholders who live in Drive/Docs/Sheets rather than a wiki or tracker.
Turn a security finding (vuln, pentest issue, review item) into a well-formed Jira issue — mapped severity→priority, remediation/repro in the body, labels and components set, and dedup-checked against existing issues. Use when findings need to become tracked, assignable work in Jira.
| name | publish-report-to-confluence |
| description | Publish a security report, runbook, threat model, or assessment writeup to Confluence — correct space/parent, consistent page structure, labels, and links back to related issues/pages. Use when a finished document needs to live in the team wiki, not just a local file. |
A well-placed, well-structured Confluence page that teammates can find and that links to the related Jira issues and source material. Uses the Atlassian MCP server (wired by this plugin); if it isn't connected, say so and output publish-ready content.
security-reporting (pentest report,
exec summary, finding set), threat-modeling, or a runbook from a defensive plugin.security-diagramming
exports rather than pasting images blind.publish-finding-to-jira),
prior assessments, and source repos. Add labels (security, type, year).The published page URL + where it sits (space/parent) and labels applied. If MCP is unavailable, output the structured page content (title, labels, body) for manual creation.
Update in place over creating v2/v3 pages — wiki sprawl kills discoverability. A TL;DR/summary at the top is what executives and on-call actually read. Link issues and diagrams so the page is a hub, not a dead end.