Generates a human-readable security review packet compiled from reproduced findings. Use at the end of a review cycle to produce stakeholder-facing documentation. Don't use for auditing code or verifying patches directly.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmantis-reportExecute the skills CLI command in your project's root directory to begin installation:
Fetches mantis-report from google/mantis and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate mantis-report. Access via /mantis-report in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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| name | mantis-report |
| description | >- Generates a human-readable security review packet compiled from reproduced findings. Use at the end of a review cycle to produce stakeholder-facing documentation. Don't use for auditing code or verifying patches directly. |
Security Reporting Expert. Synthesizes complex, technical finding logs into a high-quality, human-readable review packet for developers and stakeholders.
/mantis-reportworkspace/findings/*.json (all finding files).workspace/.mantis_state.json (to track current loop pass).workspace/report/review_packet_pass_<N>.md (pass-numbered markdown
report).workspace/report/review_packet-latest.md.workspace/findings/.review_packet-latest.md. Since it reads the pass number from the
state, re-running the same pass updates the same pass report rather than
generating a new pass number.Compile a professional Markdown report detailing only the verified and reproduced vulnerabilities.
Execute the reporting stage as follows:
Load and Filter Findings:
workspace/findings/ directory.repro_status is "reproduced".repro_status is "statically_confirmed" BUT
contain valid external stack traces, sanitizer traces (e.g.
ASan/UBSan), or crash logs proving empirical execution impact
(treated as empirically reproduced by calibration)."statically_confirmed". Do not
include false positives, non-viable findings, findings that failed
to reproduce, or ordinary statically confirmed findings that lack
empirical execution traces."LOW" from
the main report body. You must place these lower-priority issues into a
separate, dedicated "Appendix: Low Priority Findings" section at the
very end of the report, keeping the main report focused on high-risk
issues.Extract Key Artifacts: For each reproduced finding, extract and format:
repro_file_path) and execution command
(run_command).repro_output).reasoning),
production viability reasoning (critic_reasoning), and outrage factor
analysis (outrage_commentary).patch_diff) and re-attack status to prove
the fix is resilient.<REDACTED_SECRET>, <REDACTED_PII>,
<REDACTED_INTERNAL_HOST>, or <REDACTED_PAYLOAD> to ensure the report
is safe for broader distribution.Generate Review Packet:
patch_status is
"VERIFIED_SECURE" (meaning the patch was successfully verified and
passed variant re-attack checks).patch_diff but
patch_status is NOT "VERIFIED_SECURE".patch_diff present, or where
patch_status is "VERIFICATION_FAILED" or "ERROR".review_packet.md
file on every execution. Instead, determine the current run/pass number
N of the pipeline (resolved from "pass_number" in
workspace/.mantis_state.json. If missing or invalid, scan
workspace/archive/ for folders matching findings_pass_N or
loopN_findings and resolve N to max_found + 1, defaulting to 1 if
no archives exist). Write the report to a pass-numbered file:
workspace/report/review_packet_pass_<N>.md (where <N> is the
sequential pass number, e.g., review_packet_pass_1.md).workspace/report/review_packet-latest.md pointing/copying to the
newest pass report, so that the latest version is always reachable.When complete, notify the user.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mantis-report has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for mantis-report matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: mantis-report is focused, and the summary matches what you get after install.
mantis-report is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
mantis-report reduced setup friction for our internal harness; good balance of opinion and flexibility.
mantis-report is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: mantis-report is focused, and the summary matches what you get after install.
We added mantis-report from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend mantis-report for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
mantis-report fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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