report
Skill2 starsChanged 3 months agoMITView on GitHub
Use when one or more websec detection skills have produced results files and a single consolidated, severity-ranked security report is needed, or when asked to summarise or prioritise security findings across classes.
93 other projects use a version of this.
Adopted by
Most recently taken up by
- BermanRoman/promt-seo-geotheir own version, first seen Nov 8, 2026
- eliasjnior/claude-skillstheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- leinardi/adversarial-review-looptheir own version, first seen Nov 8, 2026
- KadirHarmanc/nazar-skilltheir own version, first seen Nov 8, 2026
- zedarvates/frugal-skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use opportunities, export and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
ansvisorSkillopportunities
Finds content gaps, prompts worth tracking, and the off-site sources AI cites instead of the brand.
Also in 3 projects that use this
soilmassSkillexport
Animation export configurations including format selection, resolution, framerate, quality, and optimization settings. Use when rendering animations for web, mobile, video, or social media. Provides tokens for all export parameters across Lottie, GIF, video, and sprite sheet formats.
Also in 4 projects that use this
GoogleSkillquality
Evaluates whether a GitHub issue is spam, empty, needs more information, or is OK to proceed.
Also in 3 projects that use this
genomewalkerSkillresume
Resume a thread by loading its ~800-token context capsule
Also in 7 projects that use this
tokyubevoxelverseSkillcheckup
Give a repository a full health exam — doc rot, dependency staleness, CI decay, git hygiene, dead links, docs contradicting code — and grade it. Use when the user wants to know what quietly rotted, or a prioritized maintenance list.
Also in 3 projects that use this
michaelenglandSkillimport
This skill should be used when the user wants to import an existing .pptx file into deckwright, bring in a PowerPoint that was created outside this tool, reverse-engineer a presentation for editing, or invoke /deckwright:import. Converts a .pptx into a PptxGenJS generation script so it can be edited and regenerated through the deckwright pipeline.
Also in 3 projects that use this
Other versions93 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 93
- microsoft/data-formulator★ 17ksame name
- Zafer-Liu/Data-Analysis-Agent★ 2.6ksame name
- H-mmer/pentest-agents★ 815same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- cwinvestments/memstack★ 425same name
- automagik-dev/genie★ 351same name
- namastexlabs/automagik-genie★ 351same name
- ansvisor/ansvisor★ 233same name
- andrew-yangy/gru-ai★ 153same name
- zhaji2333/CkSKILLS★ 145same name
83 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository35 other files it gives its agents.
- access-controlSkill
- analysisSkill
- apiSkill
- authenticationSkill
- business-logicSkill
- clickjackingSkill
- corsSkill
- cryptoSkill
- csrfSkill
- deserializationSkill
- dom-basedSkill
- file-uploadSkill
- graphqlSkill
- host-headerSkill
- information-disclosureSkill
- jwtSkill
- llmSkill
- nosql-injectionSkill
- oauthSkill
- open-redirectSkill
- os-command-injectionSkill
- path-traversalSkill
- prototype-pollutionSkill
- race-conditionsSkill
- request-smugglingSkill
- scanSkill
- secretsSkill
- sql-injectionSkill
- ssrfSkill
- sstiSkill
- web-cache-deceptionSkill
- web-cache-poisoningSkill
- websocketsSkill
- xssSkill
- xxeSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 68 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 79
Do not shorten Proof, Remediation, or Dynamic Test.
- Distinctive: line 82
If a results file is malformed, include what can be parsed and add a line under Coverage: "Completed (parse issues: …)".
- Distinctive: line 84
Never present a capped run as a complete one.
“Common” is measured: kept by at least 6 in 10 of the 68 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Consolidated Security Report
Overview
Detection skills each write <output_dir>/<skill>-results.md. This skill reads all of them, assigns severity, sorts, and produces two artefacts: final-report.md for people and findings.json for tooling. It preserves every finding's content verbatim — it ranks and arranges, it does not rewrite.
Prerequisites
- Policy:
${CLAUDE_PLUGIN_ROOT}/references/policy.default.yaml, then.websec/policy.yamlif present, merged per${CLAUDE_PLUGIN_ROOT}/references/policy.md. You needoutput_dir,severity.overrides,severity.fail_threshold,report.include_not_vulnerable, andlimits.*so you can say which ceilings were reached. - Contracts:
${CLAUDE_PLUGIN_ROOT}/references/severity-defaults.md(tiers, defaults, adjustments, tiebreaker) and${CLAUDE_PLUGIN_ROOT}/references/finding-template.md(field names for JSON). <output_dir>/architecture.mdif present — for project name and data-sensitivity context, and for its record of which controls are enforced outside the reviewed tree. If itsgenerated-fromstamp isno-vcsorunknown, note in the report that the architecture document's freshness could not be verified.- At least one
<output_dir>/*-results.md. If none exist, say so and stop.
Procedure (in-session, no subagents)
1. Discover
List <output_dir>/*-results.md. The skill name is the filename prefix. Record which of the 33 detection skills have results and which do not:
access-control api authentication business-logic clickjacking cors crypto csrf deserialization dom-based file-upload graphql host-header information-disclosure jwt llm nosql-injection oauth open-redirect os-command-injection path-traversal prototype-pollution race-conditions request-smuggling secrets sql-injection ssrf ssti web-cache-deception web-cache-poisoning websockets xss xxe
2. Extract
From each results file take every finding block. Include VULNERABLE and LIKELY VULNERABLE in the report body. Count NOT VULNERABLE and NEEDS MANUAL REVIEW; include NOT VULNERABLE blocks in an appendix only if report.include_not_vulnerable is true. Always list NEEDS MANUAL REVIEW items in a short appendix table (title, file, uncertainty) — they are work for a human. Keep every field's text exactly as written.
3. Assign severity
For each included finding: start from the class default in severity-defaults.md; apply severity.overrides[<skill>] if set; then apply the adjustment rules using the finding's Impact and the sensitive-data section of architecture.md. Write a one-sentence Severity rationale per finding. Mark LIKELY VULNERABLE titles with "⚠ Likely".
4. Sort
Critical → High → Medium → Low; within a tier by confidentiality impact descending, then by number of affected locations. Findings that are the same flaw across many locations stay separate but adjacent.
5. Write <output_dir>/final-report.md
# Security Review Report — <project>
**Generated**: <date> · **Detectors run**: <list> · **Not run**: <list>
## Gate
<only if severity.fail_threshold is set:> Threshold: <tier> → **PASS** | **FAIL** (<n> finding(s) at or above threshold). Informational only.
## Executive summary
| Severity | Count |
|---|---|
| Critical | n | High | n | Medium | n | Low | n | **Total** | **n** |
Needs manual review: n · Not vulnerable (counted): n · **Not verified (ceiling reached): n**
## Index
| # | Title | Detector | Severity | Location |
## Findings
### Critical
#### <n>. <Title> — <detector>
- **Classification**: VULNERABLE | LIKELY VULNERABLE
- **Severity rationale**: …
<all fields from the finding block, verbatim: File, Endpoint, Issue, Impact, Proof, Remediation, Dynamic Test, Confidence>
### High … ### Medium … ### Low (omit empty tiers)
## Needs manual review
| Title | Detector | File | Uncertainty |
## Also observed / Suspicious instructions
<merged from results files, or "none">
## Coverage
| Detector | Results file | Candidates | Verified | Not verified | Status |
<one row per detector: Completed / Not run / Completed (capped). Fill Candidates, Verified and
Not verified from each results file's Executive Summary; use 0 where the detector reported none.>
<if any detector was capped:> **Coverage is partial.** N candidates across M detectors were not
verified because `limits.max_candidates_per_detector` was reached. They are listed per detector in
the results files under "Not verified". Raise the ceiling or narrow the scope with `ignore_paths`
and run those detectors again before treating this report as complete.6. Write <output_dir>/findings.json
An array of objects with exactly the fields in finding-template.md's JSON table plus severity and severity_rationale. Include NEEDS MANUAL REVIEW items with severity: null. Valid JSON, UTF-8, no trailing commas.
Reminders
- Do not shorten Proof, Remediation, or Dynamic Test. Long is fine; lossy is not.
- Severity is yours to assign; classification is the detector's — never change a classification here.
- Same flaw, five handlers → five findings, adjacent in the list.
- If a results file is malformed, include what can be parsed and add a line under Coverage: "Completed (parse issues: …)".
- The Gate line informs; it does not stop anything. Consumers decide what to do with it.
- Never present a capped run as a complete one. If any detector hit a ceiling, the partial-coverage note is required, and the Gate line — if set — must say it was computed over verified candidates only.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

