Agent skill

Analyze Crash Exploitability

by cyberful in cyberful/cyberful

Extract bounded, deterministic evidence from crash and sanitizer logs, including signals, sanitizer classes, memory-safety indicators, stack-frame hashes, and source provenance, while reserving…

AGPL-3.0Auto-check passedSecurity

Install Analyze Crash Exploitability

skills CLI
$ npx skills add cyberful/cyberful --skill analyze-crash-exploitability -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cyberful/cyberful analyze-crash-exploitability --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cyberful/cyberful.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cyberful/builtin/skills/analyze-crash-exploitability .claude/skills/analyze-crash-exploitability && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyze-crash-exploitability
GitHub stars
135
Token cost
~563 tokens
SKILL.md length
153 words
Files
9 (incl. scripts, references, assets)
Skills in repo
85
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Extract bounded, deterministic evidence from crash and sanitizer logs, including signals, sanitizer classes, memory-safety indicators, stack-frame hashes, and source provenance, while reserving…

  • Security work in your project
  • SKILL.md covers Extract reproducible evidence and Decide manually
  • Runs Python scripts from its folder

What it does

Analyze Crash Exploitability is an agent skill from cyberful/cyberful. Extract bounded, deterministic evidence from crash and sanitizer logs, including signals, sanitizer classes, memory-safety indicators, stack-frame hashes, and source provenance, while reserving exploitability judgment for manual analysis.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/crash-analysis.example.json` and `assets/crash-analysis.schema.json`).

It sits in Security. The repository describes itself as: Cyberful is an open-source AI Red Team for discovering, exploiting, verifying, and remediating vulnerabilities. The licence is AGPL-3.0.

When your agent uses it

  • Security work in your project

Example prompts

  • “/analyze-crash-exploitability”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ec598a6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyze Crash Exploitability loads about 563 tokens when it runs, and up to ~856 if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 153 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~563
With references · SKILL.md plus every file in references/, read only if the agent opens them
~856

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from cyberful/cyberful at commit ec598a6, republished under its AGPL-3.0 licence (© cyberful). 153 words, ~563 tokens.

Download SKILL.mdSave it as .claude/skills/analyze-crash-exploitability/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
analyze-crash-exploitability
description
Extract bounded, deterministic evidence from crash and sanitizer logs, including signals, sanitizer classes, memory-safety indicators, stack-frame hashes, and source provenance, while reserving exploitability judgment for manual analysis.
metadata.domain
evidence-analysis
metadata.subdomain
crash-analysis
metadata.triggers
analyze crash exploitability, inspect sanitizer crash log, triage memory safety crash, crash evidence analysis, stack trace fingerprinting, reproduce crash…
metadata.tags
crash, exploitability, sanitizer, memory-safety, stack-trace, offline-analysis

Analyze Crash Exploitability

Use the analyzer to normalize crash evidence, not to label a crash exploitable. Exploitability depends on attacker control, reachable state, mitigations, allocator behavior, process privilege, and reliable influence over control or sensitive data.

Extract reproducible evidence

Read references/crash-evidence-method.md. Stage scripts/analyze_crash_exploitability.py, assets/crash-analysis.example.json, and assets/crash-analysis.schema.json. The script snapshots confined regular text logs and emits bounded indicators, sanitizer and signal classes, hashed normalized frames, and source digests under assets/crash-evidence.schema.json.

Evidence indicators are literal matches in supplied logs. They can prioritize reproduction and debugging but cannot establish attacker control, primitive quality, or exploit reliability. Preserve build identity, input digest, runtime arguments, environment, mitigations, and the unmodified crash artifact separately.

Decide manually

Reproduce under the same and hardened builds, determine the faulting operation and controlled bytes, trace lifetime and bounds, assess read/write/control effects, and test relevant mitigations. Report the smallest supported primitive and uncertainty, never a score inferred only from a signal or sanitizer label.

© cyberful, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references, assets) in cyberful/builtin/skills/analyze-crash-exploitability of cyberful/cyberful.

  • SKILL.md
  • agents/openai.yaml
  • assets/crash-analysis.example.json
  • assets/crash-analysis.schema.json
  • assets/crash-evidence.schema.json
  • references/crash-evidence-method.md
  • scripts/analyze_crash_exploitability.py
  • scripts/manifest.json
  • tests/test_analyze_crash_exploitability.py

Open the folder on GitHubat commit ec598a6

Compare with similar skills

Analyze Crash Exploitability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyze Crash Exploitability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyze Crash Exploitability this skillcyberful/cyberful135—~563Automated safety check: PassAGPL-3.0
Fla Ascend Performancefla-org/flash-linear-attention5.8k—~6.3kAutomated safety check: PassMIT
Deepsec Documentation Guidevercel-labs/deepsec8.1k—~956Automated safety check: PassApache-2.0
Skill Scannergetsentry/skills1k4 repos~2.5kAutomated safety check: WarnApache-2.0
Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit4801 repos~3.3kAutomated safety check: PassNone
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0

Similar skills

  • Fla Ascend Performance

    fla-org/flash-linear-attention

    Guidelines for Ascend NPU kernel / Triton-Ascend backend performance work in the FLA repo.

    5.8k GitHub stars~6.3k tokensUpdated today
    SecurityAuto-check passed
  • Deepsec Documentation Guide

    vercel-labs/deepsec

    Official

    Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.

    8.1k GitHub stars~956 tokensUpdated 9 days ago
    SecurityAuto-check passed
  • Skill Scanner

    getsentry/skills

    Official

    Scan agent skills for security issues. An agent skill from getsentry/skills.

    1k GitHub starsUsed in 4 repos~2.5k tokens
    SecurityAuto-check: warnings
  • Serenity Aleabitoreddit

    yan-labs/serenity-aleabitoreddit

    Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.

    480 GitHub starsUsed in 1 repo~3.3k tokens
    SecurityAuto-check passed
  • Security Alert Triage

    elastic/agent-skills

    Official

    Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.

    592 GitHub starsUsed in 1 repo~3.5k tokens
    SecurityAuto-check: notes
  • Shiro Attack CLI

    SummerSec/ShiroAttack2

    当用户要求利用、检测或测试 Apache Shiro rememberMe 反序列化漏洞 (Shiro-550, CVE-2016-4437) 时使用。触发词包括 "Shiro"、"rememberMe"、"shiro attack"、"CVE-2016-4437"、"Shiro-550"、"爆破 Shiro key"、"利用 Shiro"、"Shiro…

    2.6k GitHub stars~945 tokensUpdated 4 mo ago
    SecurityAuto-check passed

More from cyberful/cyberful

All 85 skills in this repo
  • Audit infrastructure-as-code artifacts for unsafe defaults, policy gaps, privilege exposure, control drift, and deployment-impact evidence.

    135 GitHub stars~649 tokensUpdated 1 mo ago
    Auto-check passed
  • Audit Kubernetes admission and policy-as-code enforcement against local workload manifests, exception paths, namespace scope, and deployment evidence.

    135 GitHub stars~610 tokensUpdated 1 mo ago
    Auto-check passed
  • Audit PCI DSS penetration-test methodology, scope, internal and external reports, segmentation results, tester independence, remediation, retesting, retention, and multi-tenant support evidence.

    135 GitHub stars~1k tokensUpdated 1 mo ago
    Auto-check passed
  • Operate Content Discovery

    cyberful/cyberful

    Design and interpret advanced content discovery with ffuf and complementary web fuzzers.

    135 GitHub stars~1.5k tokensUpdated 1 mo ago
    Auto-check passed
  • Operate Network Recon

    cyberful/cyberful

    Build a high-fidelity network and service inventory using Nmap, Masscan, packet capture, DNS, and protocol-specific follow-up.

    135 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Operate Sast Toolchain

    cyberful/cyberful

    Operate Semgrep and source-oriented static analysis as a hypothesis, coverage, and regression system during advanced code audits.

    135 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Analyze Crash Exploitability

What does Analyze Crash Exploitability do?

Extract bounded, deterministic evidence from crash and sanitizer logs, including signals, sanitizer classes, memory-safety indicators, stack-frame hashes, and source provenance, while reserving…. Analyze Crash Exploitability is an agent skill from cyberful/cyberful. Extract bounded, deterministic evidence from crash and sanitizer logs, including signals, sanitizer classes, memory-safety indicators, stack-frame hashes, and source provenance, while reserving exploitability judgment for manual analysis.

When should I use Analyze Crash Exploitability?

Analyze Crash Exploitability fits situations like: security work in your project.

How do I install Analyze Crash Exploitability in Claude Code?

Run `npx skills add cyberful/cyberful --skill analyze-crash-exploitability -a claude-code`. Or copy the skill folder (cyberful/builtin/skills/analyze-crash-exploitability in cyberful/cyberful) into .claude/skills/analyze-crash-exploitability in your project. Claude Code loads it when a task matches its description.

How do I install Analyze Crash Exploitability in Codex?

Run `npx skills add cyberful/cyberful --skill analyze-crash-exploitability -a codex`. Or copy the skill folder (cyberful/builtin/skills/analyze-crash-exploitability in cyberful/cyberful) into .agents/skills/analyze-crash-exploitability in your project. Codex loads it when a task matches its description.

Can I use Analyze Crash Exploitability in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cyberful/cyberful --skill analyze-crash-exploitability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-crash-exploitability, .gemini/skills/analyze-crash-exploitability, .github/skills/analyze-crash-exploitability and .opencode/skills/analyze-crash-exploitability in your project.

What does Analyze Crash Exploitability need to run?

Going by SKILL.md and its folder, Analyze Crash Exploitability needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Analyze Crash Exploitability access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyze Crash Exploitability safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyze Crash Exploitability use?

Analyze Crash Exploitability is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyze Crash Exploitability use?

About 563 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 293 tokens, read only when the agent opens those files.

What are the alternatives to Analyze Crash Exploitability?

Skills that share tags, products or a category with Analyze Crash Exploitability: Fla Ascend Performance (fla-org/flash-linear-attention, 5.8k stars), Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars) and Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 480 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze Crash Exploitability?

cyberful (a GitHub organization) maintains it in cyberful/cyberful, which has 135 GitHub stars. The repository holds 85 skills in this directory. The repository was last updated on August 24, 2026.

Source: cyberful/cyberful on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.