Atlas / Skills / utkusen / Sast Report

Sast ReportSAFE

skills/utkusen/sast-report

Collection of agent skills to find vulnerabilities inside your web/mobile apps.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
1,336
01

Overview

Collection of agent skills to find vulnerabilities inside your web/mobile apps.

Read from source at commit d9c848ebb5f1OBSERVED · 2026-10-13
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: sast-report
description: >-
  Consolidate all SAST vulnerability results from the sast/ folder into a single
  final report ranked by severity and confidentiality impact. Reads all
  *-results.md files and produces sast/final-report.md. Run after all
  vulnerability detection skills complete. Use when asked to generate a final
  report, consolidate findings, or summarize security results.
---

# Final Security Report Generation

You are consolidating all completed SAST vulnerability scan results into a single prioritized security report.

**Prerequisites**: At least one `sast/*-results.md` file must exist. Run the vulnerability detection skills first if they don't.

---

## What to Include

Only include findings with these classifications from each result file:
- `[VULNERABLE]`
- `[LIKELY VULNERABLE]`

Exclude `[NOT VULNERABLE]` and `[NEEDS MANUAL REVIEW]` findings from the main report body (count them only in the summary).

---

## Severity Ranking

Assign each finding a severity tier — **Critical**, **High**, **Medium**, or **Low** — using the table below as your baseline. Adjust up or down based on context (e.g., an IDOR that exposes financial records is High, not Medium).

| Vulnerability Class | Default Severity |
|---------------------|------------------|
| RCE via command injection, eval, or unsafe deserialization | Critical |
| SSTI (Server-Side Template Injection) | Critical |
| SQLi on authentication endpoints | Critical |
| JWT algorithm confusion (alg:none, RS256→HS256) | Critical |
| File upload leading to code execution (webshell) | Critical |
| SQLi with full data extraction capability | High–Critical |
| GraphQL injection (user-controlled operation document enabling unauthorized fields or gateway abuse) | High–Critical |
| XXE with file read or internal SSRF | High–Critical |
| Missing authentication on sensitive endpoints | High–Critical |
| SSRF reaching internal services or cloud metadata | High |
| Path traversal reading sensitive or config files | High |
| File upload with stored content accessible to others | High |
| IDOR on PII, financial, or health data | High |
| XSS (stored/persistent) | High |
| JWT with missing or bypassable claim validation | Medium–High |
| Missing authentication on lower-sensitivity endpoints | Medium |
| IDOR on non-sensitive data | Medium |
| XSS (reflected or DOM) | Medium |
| Business logic flaws (price manipulation, workflow bypass) | Medium |
| Information disclosure of non-sensitive data | Low |

**Confidentiality as a tiebreaker**: When two findings share the same baseline severity, rank higher the one with greater confidentiality impact — i.e., the greater its potential to expose sensitive user data, credentials, or system internals.

---

## Execution

Perform all steps in-session (no subagents needed).

### Step 1: Discover result files

Check which of these files exist in `sast/`:
- `idor-results.md`
- `sqli-results.md`
- `ssrf-results.md`
- `xss-results.md`
- `rce-results.md`
- `xxe-results.md`
- `fileupload-results.md`
- `pathtraversal-results.md`
- `ssti-results.md`
- `jwt-results.md`
- `missingauth-results.md`
- `businesslogic-results.md`
- `graphql-results.md`

Also read `sast/architecture.md` if it exists (use it for the project name and context when writing severity rationale).

### Step 2: Read and extract findings

Read each existing result file. For every finding classified as `[VULNERABLE]` or `[LIKELY VULNERABLE]`, extract:
- Finding title
- Vulnerability type (derived from the source file)
- File / endpoint affected
- Issue description
- Impact description
- Proof / code path
- Remediation
- Dynamic test steps (if present)

### Step 3: Score and sort

Assign each finding a severity level (Critical / High / Medium / Low) using the table above. Sort all findings:

1. Critical first, then High, Medium, Low
2. Within each tier, sort by confidentiality impact (highest first)

### Step 4: Write `sast/final-report.md`

Use exactly this output format:

---

```markdown
# Security Assessment Final Report

**Project**: [name from architecture.md, or infer from codebase]
**Generated**: [current date]
**Scans completed**: [comma-separated list of scan types that had result files]

---

## Executive Summary

| Severity | Count |
|----------|-------|
| Critical | N |
| High     | N |
| Medium   | N |
| Low      | N |
| **Total confirmed findings** | **N** |

Scans with no confirmed vulnerabilities: [list]
Findings requiring manual review: N (see individual result files for details)

---

## Vulnerability Index

| # | Title | Type | Severity | Endpoint / File |
|---|-------|------|----------|----------------|
| 1 | ... | RCE | Critical | `POST /api/exec` |
| 2 | ... | SQLi | High | `GET /api/users` |

---

## Findings

### Critical

#### [Finding Title] — [Vuln Type]

- **Source scan**: `sast/[type]-results.md`
- **Classification**: Vulnerable *(or "Likely Vulnerable")*
- **Endpoint / File**: ...
- **Severity rationale**: [1–2 sentences explaining why this is Critical, with focus on confidentiality and integrity impact]
- **Issue**: ...
- **Impact**: ...
- **Proof**:
  ```
  [code path or evidence from original finding]
  ```
- **Remediation**: ...
- **Dynamic Test**:
  ```
  [curl command or step-by-step test instructions from original finding]
  ```

---

### High

[Same structure as Critical section]

---

### Medium

[Same structure]

---

### Low

[Same structure]

---

## Appendix: Scan Coverage

| Scan | Result File | Status |
|------|-------------|--------|
| IDOR | `sast/idor-results.md` | Completed / Not run |
| SQLi | `sast/sqli-results.md` | Completed / Not run |
| SSRF | `sast/ssrf-results.md` | Completed / Not run |
| XSS | `sast/xss-results.md` | Completed / Not run |
| RCE | `sast/rce-results.md` | Completed / Not run |
| XXE | `sast/xxe-results.md` | Completed / Not run |
| File Upload | `sast/fileupload-results.md` | Completed / Not run |
| Path Traversal | `sast/pathtraversal-results.md` | Completed /
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-13 · audit v0.4.1 · source sha d9c848ebb5f1full audit observations/trust-audit/skill/utkusen__sast-report.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-13d9c848ebb5f1SAFEB89first audit
05

Questions

What does the Sast Report skill do?

Collection of agent skills to find vulnerabilities inside your web/mobile apps.

Is Sast Report safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Sast Report access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (d9c848ebb5f1), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.

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