Composing Vulnerability Report
ASecurityRead findings JSONL files from cluster 1-4 skills, deduplicate by fingerprint, group by severity, and compose a deliverable- grade markdown vulnerability report with per-finding sections (title, severity, target, detail, remediation, evidence) and a top-level summary table. The canonical written artifact a customer receives at engagement close; precise, reproducible, machine- checkable against source findings. Use when: closing an engagement, generating an interim report, regenerating after C...
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- Added September 21, 2026
Works with
Security analysis
100/100Pro scans all 4 files and shows the line behind each finding
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill composing-vulnerability-report --agent claude-codeAre you the author of Composing Vulnerability Report?
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[](https://www.skillsdirectory.com/skills/jeremylongshore-composing-vulnerability-report-ab3420b7)---
name: composing-vulnerability-report
description: |
Read findings JSONL files from cluster 1-4 skills, deduplicate
by fingerprint, group by severity, and compose a deliverable-
grade markdown vulnerability report with per-finding sections
(title, severity, target, detail, remediation, evidence) and a
top-level summary table. The canonical written artifact a customer
receives at engagement close; precise, reproducible, machine-
checkable against source findings.
Use when: closing an engagement, generating an interim report,
regenerating after CVE or OWASP enrichment, or producing the
input for generating-executive-summary.
Threshold: findings missing required fields are dropped. HIGH
and CRITICAL findings highlighted in the summary section.
Trigger with: "compose vuln report", "write pentest report",
"generate vulnerability deliverable", "render findings to report".
allowed-tools:
- Read
- Write
- Bash(python3:*)
- Glob
disallowed-tools:
- Bash(rm:*)
- Bash(curl:*)
- Bash(wget:*)
- Write(.env)
- Edit(.env)
version: 3.30.0
author: Jeremy Longshore <jeremy@intentsolutions.io>
license: MIT
compatibility: Designed for Claude Code
tags:
- security
- reporting
- vulnerability-report
- cvss
- pentest
---
# Composing Vulnerability Report
## Overview
After cluster 1-4 scan skills run, each one produces a Findings
file. A typical engagement ends up with eight to twenty such files
across the different skill categories. The customer wants ONE
vulnerability report — comprehensive, deduplicated, organized by
severity, with each finding cross-referenced to its source skill
and target.
This skill consumes one or more findings files (JSONL preferred,
JSON list also accepted), deduplicates entries by the canonical
fingerprint defined in `lib/finding.py`, enriches each finding
with a CVSS v3.1 vector when one isn't present (using a deterministic
heuristic based on severity + category — explicitly noted as
"derived, not assigned by NVD" in the output), and emits a single
markdown report with per-finding sections plus a top-level
summary table.
The report has a defined structure that downstream tools (next
two skills in cluster 6) consume:
1. **Header** — engagement ID, generation timestamp, source files
2. **Summary table** — finding count by severity
3. **Per-severity sections** — CRITICAL first, then HIGH, MEDIUM,
LOW, INFO
4. **Per-finding subsections** — title, severity, target, detail,
remediation, evidence, references
## When the skill produces findings
| Finding | Severity | Threshold | Affected control |
|---|---|---|---|
| Source file unparseable | **HIGH** | JSON/JSONL parse fails | (operational) |
| Finding missing required field | **HIGH** | A finding record is missing title, severity, target, detail, or remediation | (operational) |
| Duplicate fingerprint across files | **INFO** | Same finding appears in N>1 sources; reported as deduplication count | (informational) |
| Source file has zero findings | **INFO** | Empty or all-info-only file; reported but not an error | (informational) |
| Report generated cleanly | **INFO** | Positive confirmation | (informational) |
## Prerequisites
- Python 3.9+
- One or more findings files in JSON or JSONL format produced by
any cluster 1-4 scan skill (which all share `lib/finding.py`
schema)
## Instructions
### Step 1 — Gather findings sources
By default the skill reads every file matching
`engagement/findings/*.json` and `engagement/findings/*.jsonl`.
Override with `--source FILE` (repeatable).
### Step 2 — Run the composer
```bash
python3 ./scripts/compose_report.py engagements/acme-2026-q2/
```
Options:
```
Usage: compose_report.py PATH [OPTIONS]
Options:
--source FILE Specific findings file (repeatable; overrides default glob)
--report-output FILE Write the composed report here (default:
PATH/reports/vulnerability-report.md)
--engagement-id ID Override the engagement ID (default: parse from PATH/roe.yaml)
--output FILE Operational findings output (this skill's own findings)
--format FMT json | jsonl | markdown (default: markdown)
--min-severity SEV Filter report to findings at or above this severity
--include-info Include INFO-severity findings in the report (default: omit)
```
### Step 3 — Review the report
The output report has a predictable structure. The header
identifies the engagement, the source files, and the generation
timestamp. The summary table shows finding counts by severity.
Per-severity sections follow.
Each finding subsection includes a stable anchor (the fingerprint)
so cross-references from later artifacts (executive summary,
OWASP mapping) resolve into the report cleanly.
### Step 4 — Verify against sources
```bash
python3 ./scripts/compose_report.py engagements/acme-2026-q2/ --format json --output /tmp/compose-findings.json
jq '.[] | select(.severity == "high")' /tmp/compose-findings.json
```
If the report references a finding the operator didn't expect,
trace back via the finding's `skill_id` + `target` to the source
file.
## Examples
### Example 1 — End-of-engagement report
```bash
python3 ./scripts/compose_report.py engagements/acme-2026-q2/ \
--report-output engagements/acme-2026-q2/reports/vulnerability-report.md
```
### Example 2 — Interim report mid-engagement
```bash
python3 ./scripts/compose_report.py engagements/acme-2026-q2/ \
--min-severity high \
--report-output engagements/acme-2026-q2/reports/interim-2026-06-15.md
```
`--min-severity high` produces an interim report covering only
HIGH and CRITICAL findings — useful for in-engagement customer
syncs.
### Example 3 — Regenerate after OWASP mapping
```bash
python3 ./scripts/compose_report.py engagements/acme-2026-q2/ \
--source engagements/acme-2026-q2/findings/all-findings-with-owasp.jsonl \
--report-output engagements/acme-2026-q2/reports/vulnerability-report-v2.md
```
Re-run after `mapping-findings-to-owasp-top10` has enriched each
finding with its OWASP category; the regenerated report includes
the OWASP tag in each per-finding subsection.
## Output
JSON / JSONL / Markdown per `lib/report.py` for the skill's own
operational findings. The PRIMARY output is the composed
vulnerability report, written as standalone Markdown to the
`--report-output` path.
Each operational Finding includes:
- `id` — `compose::<issue>::<source-file>`
- `severity` — CRITICAL / HIGH / MEDIUM / INFO
- `category` — `report-composition`
- `summary` — what went wrong (or right) during composition
- `evidence` — source files, finding counts, dedup stats
## Error Handling
- **PATH missing or empty** → emits CRITICAL operational finding,
exits 1.
- **Source file unparseable** → emits HIGH operational finding,
skips the file, continues with remaining sources.
- **No findings files found** → emits HIGH operational finding,
exits 1.
- **Output report path not writable** → emits HIGH operational
finding, exits 1.
- **Finding missing required fields** → emits HIGH operational
finding, omits that record from the report, continues.
## Resources
- `references/THEORY.md` — Vulnerability-report structure history
(NIST SP 800-115, OWASP Testing Guide), CVSS v3.1 vector
composition, severity scoring tradeoffs (CVSS vs intrinsic vs
EPSS), finding-deduplication theory, why fingerprint-based dedup
beats title-based
- `references/PLAYBOOK.md` — Report-template variants per
audience (technical, executive, regulatory), per-finding
remediation phrasing patterns, evidence-redaction patterns
for distributed reports, cross-reference protocol with the
OWASP-mapping and exec-summary skills
Files in this skill
- SKILL.md
- references/PLAYBOOK.md
- references/THEORY.md
- scripts/compose_report.py
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