Hack logo

Hack

OrganizationPopular
yaklang
hack

Entry P0 primary router and operating doctrine for HackSkills. Use when the task involves web application testing, API security assessment, recon, vulnerability triage, exploit path planning, authorized pentest, code audit, source-leak mining, middleware audit, SOC triage, detection engineering, incident response, or choosing the right next category skill before any deep topic skill. Also use when the user mentions 安全工程师, 渗透测试, 红队, 蓝队, 代码审计, 源码泄露, SRC. Enforce impact-first testing, finish the current asset cluster before expanding, follow half-chains to real control, and require live verification of secrets.

Overview

Publisheryaklang
Repositoryhack-skills
Skill namehack
Stars
2.2K
Forks
292
Bundled files
6
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yaklang on GitHub. Read the source before you install it.

Installation

Install the Hack AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yaklang/hack-skills.git /tmp/hack-skills
mkdir -p .claude/skills
cp -r /tmp/hack-skills/skills/hack .claude/skills/hack
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hack in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hack on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hack is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HACKING SKILLS / HackSkills

Overview

This is the master quality gate and technical router for authorized bug bounty, web/API security, pentest, code audit, source-leak work, and (when the task is blue) SOC / detection / IR.

It does not replace specialized techniques. It makes the agent:

  1. Pass the start gate (authorization, role, scope, success definition)
  2. Spend effort on paths that reach real control
  3. Route by observed behavior to the correct category / deep topic skill
  4. Prefer structured methodology over baseline-model memory and scanner dumps

This file is a quality gate, not a capability ceiling. Surfaces not listed here stay in play if field evidence exists.

This file is not an exploit cookbook. Weaponized details live in deep topic skills and are used only on authorized targets.

Load on demand:

0. Task Start Gate

Complete in order. Stop if any item is missing:

  1. Authorization: written auth, RoE, scope, prohibitions, contact, emergency stop. No authorization → refuse.
  2. Role: red-team test / code audit / source leak / middleware audit / blue triage / detection engineering / IR. Parallel work is allowed; there is only one primary role.
  3. Scope mode:
    • User gave a fixed URL / system / repo → locked scope: follow same-product hosts, gateways, API domains, and same-host extra paths that the business flow naturally exposes. Do not scan unrelated brand lines.
    • User gave an org name and asked to find boundary assets → exploratory scope: finish the current asset cluster before opening the next. Do not search many seeds shallowly.
  4. Success definition: what "done" means for this task. Scanner-finished, report-emitted, and ticket-closed are not success.
  5. Destruction boundary: list actions that must never happen.
  6. Working directory before any test: assets/ (URLs, API inventory, script excerpts), evidence/ (requests, diffs, screenshots), reports/ (confirmed findings only).
  7. Questions: if scope is unclear, ask only the 1–3 technical blockers (target, stack, whether an account exists). Do not use "should I continue" as a way to stop. Missing a second account → degrade to what is testable; do not idle waiting for account B.

Do not expand onto unauthorized assets.

1. Hard Constraints

  • Stay in scope. Out-of-scope clues: record, then request expansion. No silent expansion.
  • No destructive testing or destructive containment: delete other people's business data, DROP/TRUNCATE, bulk config change, encrypt/ransom-like actions, unbounded DoS, wipe logs, wipe images.
  • Write-ops that prove access: create only identifiable test objects, delete that one object immediately. Do not change other people's orders, addresses, passwords, roles, or bindings. No charge, stock wipe, or account lock.
  • Do not log out, revoke, or deactivate a session the user provided. If password/binding change is required to prove impact, revert immediately; if revert fails, stop at the response — do not brick the account.
  • Do not cause irreversible damage to prove a break. Prefer read-only, copy, or low-privilege proof.
  • Evidence must be readable and reproducible. A conclusion without repro steps is a hypothesis.
  • Do not fabricate PoCs, logs, or exploit chains. If path, file, query, and screenshot do not line up, downgrade or withdraw.
  • Copied secrets are clues until they pass the liveness gate: production accepts the real value (rejects a fake), and one read-only call returns identity or an object list.
  • A finding reached with a session is not "anonymous unauthorized". Anonymous only if the break had no login state.
  • For internal users, assume false positive or mistake until the timeline proves otherwise.
  • If a security control blocks real work, it will be bypassed. Remediation must include a usable safe path.

2. Role Routing

User intentPrimary flowLoad
Pentest / red team / foothold / SRC§§3–5RED_TEAM.md, TEST_MATRIX.md
Code audit / whitebox / find sinks§3 R6CODE_AUDIT.md
Source leak / Git leak / secret leak§3 R5SOURCE_LEAK.md, insecure-source-code-management
Middleware / gateway / component audit§3 R7RED_TEAM.md middleware section, unauthorized-access-common-services
Alert triage / SOC / huntingBlue quality gateBLUE_TEAM.md
Detection rulesBlue B6BLUE_TEAM.md, template in EVIDENCE_REPORT.md
IR / forensics / containmentBlue B7BLUE_TEAM.md, memory-forensics-volatility, traffic-analysis-pcap
Write the report§6EVIDENCE_REPORT.md

When a task crosses red and blue, freeze evidence for the current phase before switching role.

3. Operating Model

Step 1: Draw the surface from the application

With a URL or an application in hand, map the surface first: attack-surface-mapping. Portrait, business plane, JS/traffic inventory (keys not just paths), response classes, object graph. Do not scan into a blank portrait. Do not open with directory brute or payload spray.

Step 2: Route by observed behavior

SignalFirst directionLoad
Input reflects into HTML / JSXSS / SSTIinjection-checking
Server fetches a URL / hostnameSSRFssrf-server-side-request-forgery
Accepts XML / Office / SVGXXExxe-xml-external-entity
Path, filename, or download is controllablePath Traversal / LFIpath-traversal-lfi
Many object IDs in APIsIDOR / BOLA / BFLAauth-sec, idor-broken-object-authorization
Login, reset, 2FA, sessionsAuth bypass / JWT / OAuthauth-sec
Multi-step money, coupons, inventory, approvalBusiness logic / racebusiness-logic-vuln
MongoDB / JSON query syntaxNoSQLnosql-injection
CLI tools, image processing, importersCommand injectioncmdi-command-injection
HTTP parse / front-back framing mismatchRequest smugglingrequest-smuggling
Node JSON / controllable __proto__Prototype pollutionprototype-pollution
PHP weak compare / 0e hashType jugglingtype-juggling
Repeated param names / WAF-app parse mismatchHPPhttp-parameter-pollution
One-time coupon / inventory / reset / inviteRacerace-condition
XML/XSLT templatesXSLTxslt-injection
.git / .svn / .env / backups / public bucketsSource leakSOURCE_LEAK.md
CSV/Excel exportCSV formulacsv-formula-injection
WebSocket upgradeWebSocketwebsocket-security
Internal package namesDependency confusiondependency-confusion
Business API returns 401/403Path / method / header bypass401-403-bypass-techniques
Public middleware admin / default portsDefault creds, debug, version defectsunauthorized-access-common-services
Chat assistant with command toolsDoes the tool actually executellm-prompt-injection
File upload / preview / convertUpload chain — do not stop at store+downloadupload-insecure-files
GraphQL / OAuth JWT / gatewayMatching specialty; tick done or write N/Aapi-sec, jwt-oauth-token-attacks

Opening one check class does not mean firing only that one shot. Walk the rest of the matrix.

Step 3: Spend effort in this order

Full pass/fail rules: TEST_MATRIX.md. Default order:

  1. Unauthenticated access to another user, tenant, or subject
  2. Auth takeover (issue session, reset, rebind, swap ticket) — in-session or password change counts
  3. Swap object identifiers (any field name: id / userId / tenantId / fileKey / openid / ciphertext PK)
  4. With a session, walk the object graph: list → detail → attachment/export/approval, then writes and business logic
  5. Injection / SSRF / XSS / command or template execution only on surfaces that show a diff
  6. Salts, hardcoded keys, demo accounts in pages and scripts

Do not stop on a half-chain. Upload that stores, OTP that sends, or a copied secret string is not done. Confirmed medium on an object: follow it to write / cross-user / takeover / execution before changing targets.

A full "please log in" with no business fields is not an injection surface. Empty list, error, and timeout are not "please log in".

Finish the current asset cluster before expanding.

R1. Impact, not compliance

Shortest path to influential control first. Each candidate: can the attacker harm a real user or system now? The report narrative is the attack chain; CVSS is an appendix. Tenant-admin "allowed in role" is still a finding if it reaches platform admin, other tenants, or other users. Rank findings with the impact ladder in RED_TEAM.md; layer 7 (pure compliance) is appendix-only.

R5. Source leak: mine the clue to the end

Do not stop at ".git exposed" or "repo is public". SOURCE_LEAK.md: full tree plus history → inventory secrets and hidden surface → live-verify still-valid secrets with minimal read-only calls → treat the leak as a new attack-surface list.

R6. Code audit: sink→source, or source forward

CODE_AUDIT.md. No complete taint path, or sanitizer proven effective → do not file as confirmed.

R7. Middleware audit is document-driven

Read official docs for the exact major version, build a checklist, leave a trace per item. A middleware conclusion with no comparison table is unfinished.

Blue quality gate (when the primary role is blue)

Success is shorter dwell time, not close-rate. Details: BLUE_TEAM.md.

  • B1. Ask first whether this loses data, privilege, or the business now. One high-confidence event plus a timeline beats a hundred context-free alerts.
  • B2. Alert fatigue is the main risk. Enrich before a human; every rule has an owner, FP profile, retro window, and retirement condition. Six months silent → check the log source first.
  • B3. Containment defaults to reversible. Preserve evidence, then contain, then eradicate. Wiping logs is not containment.
  • B4. Conclusions need a reproducible query, timezone, asset/user/src IP, raw excerpt, and a label (TP / benign TP / FP / insufficient evidence).
  • B5. Expand the same user, host, IP, token, hash inside the window. Intel, IOCs, and leak samples entering a case are handled at source-leak severity.
  • B6. Detection engineering walks backward from the behavior that must be caught. Strict high-confidence rules first. Quality gate in BLUE_TEAM.md.
  • B7. IR follows an approved playbook. New log sources get a field dictionary, coverage map, known FPs, owner, and retirement bar before rules ship.

4. Core Skill Map

If the full repository is present, prefer these together. Previously separate mini skills (payload-selection, brute-selection) were merged back into their main skills.

5. High-Value Expert Intuitions

Points baseline models miss that hit often in real bounty work:

  1. The same filter is reused across pages: one bypass usually ports.
  2. Parameter names are an attack surface: WAFs often inspect values, not names.
  3. Second-order is common: safe at store time is not safe when later read into a dangerous context.
  4. BOLA is "authenticated but unauthorized": replay while switching account A/B.
  5. Older API versions miss patches: fixing v2 does not retire v1.
  6. Business-logic bugs often have the highest impact: scanners miss them; they last.
  7. Race conditions: prioritize one-time actions: redeem, claim, reset, invite, trial, stock decrement.
  8. JWT: inspect key and algorithm context first: alg, kid, JWKS, key source — do not blindly spray.

6. Output Standard

Default three layers by audience:

  1. Decision: what happened, impact, what to do now (one page)
  2. Technical: attack chain or event timeline, repro or query, evidence
  3. Improvement: fix / detection / log gap / process gap, each with owner and verification

Use templates in EVIDENCE_REPORT.md. Medium and above: write to disk immediately. Severe: notify the authorized contact immediately.

Two gates before a finding is "confirmed":

  • Session-attribution gate: if the breaking request carried a session, write IDOR/auth — not "anonymous unauthorized".
  • Secret liveness gate: fake rejected + real accepted, and one read-only call returns identity or a list. Otherwise it is a clue.

7. Anti-patterns

  • Scanner output as a pentest report; CVSS in place of business impact; filing unexploitable theory to pad count
  • Reporting .git or a secret string as mere info-leak; code audit that lists dangerous function names without source→sink
  • Middleware conclusions from memory, no official-doc comparison
  • Spraying passwords before reading lockout policy; one quote per path as "injection done"
  • Stopping at upload-stores, OTP-sends, or copied secret
  • Writing a session finding as anonymous unauthorized
  • Scanning with an empty portrait, or a script that extracted only paths
  • Pouring the full matrix into the same "please log in" response
  • Blue team measured by close-rate; marking under-evidenced alerts FP and forgetting them; shipping rules never tested on real logs; wiping the only evidence during containment
  • Designing a "secure" flow nobody can use, forcing shadow IT
  • Pretending an unlisted field surface is not there
  • Treating anything this file omitted as forbidden

Suggested Prompts

  • "I only have this URL; draw the attack surface from the application before testing."
  • "Plan the test route for this target using bounty methodology, impact-first."
  • "This is a REST API; prioritize BOLA, BFLA, mass assignment, and JWT."
  • "This parameter triggers server-side requests; list SSRF validation points."
  • "Payment / coupon / inventory flow: business logic and race first."
  • "I only see login and password-reset: Auth Bypass + OAuth/JWT + CSRF."
  • "Audit this repo sink-to-source; no finding without a taint path."
  • ".git is exposed: mine history and live-verify secrets, then treat it as a new surface list."

Installation Notes

Recommended skill name: hack

Search keywords: HackSkills, HACKING SKILLS, bug bounty, security engineer ops

Guidelines

  • Route by target type and observed behavior, not random payload enumeration.
  • Payloads: use first-pass samples in the matching deep skill; do not add another intermediate router.
  • Prefer reusable filters, shared components, and cross-page reproduction.
  • Confirm authn, authz, and version boundaries before deeper exploitation.
  • Keep the process explainable, auditable, and reproducible.
  • With full repo context, return to topic documents for exploitation detail.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hack AI skill do?

Entry P0 primary router and operating doctrine for HackSkills. Use when the task involves web application testing, API security assessment, recon, vulnerability triage, exploit path planning, authorized pentest, code audit, source-leak mining, middleware audit, SOC triage, detection engineering, incident response, or choosing the right next category skill before any deep topic skill. Also use when the user mentions 安全工程师, 渗透测试, 红队, 蓝队, 代码审计, 源码泄露, SRC. Enforce impact-first testing, finish the current asset cluster before expanding, follow half-chains to real control, and require live verifi...

Why use Hack on TypingMind?

Because you install it once and use it with any model. Hack is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hack in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaklang/hack-skills/tree/main/skills/hack. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hack?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hack?

As many as you like. As long as a model supports skills, you can use Hack with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hack AI skill free?

Yes. It is published on GitHub by yaklang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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