final-report
Final engagement report generation — executive summary, technical report, findings aggregation, attack path narrative, detection gap matrix, remediation…
Skill by dazeb
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About
Use cases: documents
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/final-report
Tools it pre-approves 2
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
ReadWrite
What's inside
- Skill name
final-report- Description
- Final engagement report generation — executive summary, technical report, findings aggregation, attack path narrative, detection gap matrix, remediation roadmap.
- License
- Apache-2.0
- Allowed tools
- Read, Write
- Metadata
- tags: report, final, executive-summary, technical-report, remediation, detection-gap · subdomain: orchestration · when_to_use: final report, generate report, engagement complete, all objectives done, executive summary, technical report
- Instructions
- 414 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Final Engagement Report Generation
**Execute when all OPPLAN objectives are in `passed` or `blocked` status. Output is two Markdown documents in `report/`.**
## Report Generation Workflow
```
1. Read all findings/*.md (parse YAML frontmatter for metadata)
2. Read all findings/attack-paths/PATH-*.md
3. Read timeline.jsonl (activity log)
4. Read plan/roe.json + plan/conops.json + plan/deconfliction.json (engagement context)
5. Read plan/opplan.json (objective status summary)
6. Generate report/executive-summary.md
7. Generate report/technical-report.md
8. (Optional) Refresh findings.md with final summary
```
### Step 1: Initialize Output Directory
```
bash(command="mkdir -p /workspace/report")
```
### Step 2: Aggregate Findings
Read every `findings/*.md` (named `{severity}-{slug}.md`) and extract frontmatter fields:
```
for each FIND-xxx.md:
- id, title, severity, cvss, target, phase, technique (ATT&CK ID), status, confidence
```
Sorting rules:
- Primary: severity (`critical` → `high` → `medium` → `low` → `informational`)
- Secondary: CVSS score descending
- De-duplicate findings that appear across multiple objectives (keep highest-severity instance)
- Flag `confidence: unverified` findings — they require a disclaimer note in the report
### Step 3: Generate Executive Summary
Write to `report/executive-summary.md` using the template below. Use plain business language throughout — zero technical jargon.
---
```markdown
# Executive Summary
## [Engagement Name] — Penetration Test Results
**Prepared for**: [Client Name]
**Engagement Period**: [Start Date] – [End Date]
**Conducted by**: Decepticon Autonomous Red Team
**Classification**: CONFIDENTIAL
---
## Engagement Overview
[2–3 sentences: what was tested, why, what methodology was used.
Example: "Between [dates], [client] engaged the red team to assess the
security posture of [scope]. The assessment simulated a [threat actor
archetype from conops.json] targeting [primary objective from roe.json].
Testing followed the Penetration Testing Execution Standard (PTES) and
MITRE ATT&CK framework."]
---
## Key Metrics
| Metric | Value |
|--------|-------|
| Total Findings | [N] |
| Critical | [N] |
| High | [N] |
| Medium | [N] |
| Low / Informational | [N] |
| Objectives Completed | [N] / [total] |
| Objectives Blocked | [N] / [total] |
| Attack Success Rate | [%] |
| Detection Rate | [%] (findings detected by existing controls) |
---
## Top 3 Critical Findings
### 1. [FIND-ID]: [Title]
[1 paragraph, business impact focus. No CVE numbers, no tool names.
Example: "Attackers with internet access can gain full administrative
control of the company's customer database without any valid credentials.
This would allow theft of all customer records, potential regulatory
fines under GDPR, and complete loss of customer trust."]
### 2. [FIND-ID]: [Title]
[1 paragraph, business impact focus]
### 3. [FIND-ID]: [Title]
[1 paragraph, business impact focus]
*[If fewer than 3 critical findings, use highest-severity findings available.]*
---
## Overall Risk Rating
**[CRITICAL / HIGH / MEDIUM / LOW]**
[2–3 sentences justifying the rating in business terms. Consider: ease of
exploitation, potential business impact, data sensitivity, regulatory exposure.
Example: "The overall risk is rated CRITICAL because an unauthenticated
attacker on the internet achieved domain administrator access within [X]
minutes, with no detection by existing security controls. This represents
a complete failure of the network perimeter and would result in total
compromise of all company systems."]
---
## Strategic Recommendations
1. **[Recommendation 1 — address most critical finding]** — [1 sentence, business language, e.g. "Immediately restrict internet access to the database server and require multi-factor authentication for all administrative accounts."]
2. **[Recommendation 2]** — [1 sentence]From dazeb/botron, Apache-2.0.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 28, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/dazeb/botron
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
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final-report skill. Agent Mart. https://agentmart.dev/skills/dazeb-final-report (last updated 2026-10-24)