Deepsec Documentation Guide
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
Business-logic flaw hunting - workflow/state bypass, price/quantity tampering, negative/overflow values, coupon/refund abuse, mass assignment, and logic races.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-bizlogic --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hunt/hunt-bizlogic .claude/skills/hunt-bizlogic && rm -rf skills-srcUse ~/.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/
Install the "hunt-bizlogic" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogic into .claude/skills/hunt-bizlogic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-bizlogic", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogicType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-bizlogic --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hunt/hunt-bizlogic .agents/skills/hunt-bizlogic && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hunt-bizlogic" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogic into .agents/skills/hunt-bizlogic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-bizlogic", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-bizlogic --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hunt/hunt-bizlogic .cursor/skills/hunt-bizlogic && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hunt-bizlogic" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogic into .cursor/skills/hunt-bizlogic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-bizlogic", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Encod3d-Sec/TORCH.git --path skills/hunt/hunt-bizlogic--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-bizlogic --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hunt/hunt-bizlogic .gemini/skills/hunt-bizlogic && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hunt-bizlogic" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogic into .gemini/skills/hunt-bizlogic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-bizlogic", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Encod3d-Sec/TORCH hunt-bizlogicInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hunt/hunt-bizlogic .github/skills/hunt-bizlogic && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hunt-bizlogic" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogic into .github/skills/hunt-bizlogic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-bizlogic", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Encod3d-Sec/TORCH hunt-bizlogic --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Encod3d-Sec/TORCH.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hunt/hunt-bizlogic .opencode/skills/hunt-bizlogic && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hunt-bizlogic" agent skill from https://github.com/Encod3d-Sec/TORCH/tree/main/skills/hunt/hunt-bizlogic into .opencode/skills/hunt-bizlogic/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hunt-bizlogic", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hunt-bizlogicBusiness-logic flaw hunting - workflow/state bypass, price/quantity tampering, negative/overflow values, coupon/refund abuse, mass assignment, and logic races.
Hunt Bizlogic is an agent skill from Encod3d-Sec/TORCH. Business-logic flaw hunting - workflow/state bypass, price/quantity tampering, negative/overflow values, coupon/refund abuse, mass assignment, and logic races. The top-paying bug class with no scanner coverage. Wiki-first, FIND schema output.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security. The repository describes itself as: Karpathy LLM based claude harness for PenetrationTesting / Bugbounty using obsidian. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d21b6c9. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hunt Bizlogic loads about 1.7k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 849 words of instructions outside code blocks.
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.
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); files beside SKILL.md are not scanned.
The full file from Encod3d-Sec/TORCH at commit d21b6c9, republished under its MIT licence (© Encod3d-Sec). 849 words, ~1,690 tokens.
.claude/skills/hunt-bizlogic/SKILL.md (or your agent's skills folder).Assumes hunt-core for the scope gate, two-account rule, confirmation gate, enumeration limits, stop conditions, wiki protocol, FIND output, and Deadends. Do not re-derive any of that here.
qmd_query "business logic flaw workflow state bypass price quantity tampering coupon refund race condition" via wiki-search MCPHub: [[web-moc]] (live index). Primary page: [[business-logic]]. Anchors: [[race-conditions]].
This is the top-paying bug class and the one with zero scanner coverage - it is all manual reasoning. Find an assumption the developer made and break it: that steps happen in order, that values are positive, that the client cannot change a field, that an action cannot be repeated. Map the intended workflow first (read the feature, the happy path, every state transition); the flaw is always the gap between that and what the server actually enforces.
Money and state-machine endpoints pay; cosmetic ones do not. Work them in this order:
Setup: two accounts per hunt-core where the flaw is cross-actor; one account suffices for pure value or state tampering. Drive the load-bearing requests through Burp Repeater for operator visibility.
Map the flow. Enumerate every step and state of the target feature. Note each parameter and which server check governs it. The flaw is a check the client can reach around.
Step / state bypass. Skip a step (POST straight to the final endpoint), replay an earlier step, run steps out of order, reuse a one-time token, reach step N without completing N-1.
Value tampering.
quantity = -1 # negative -> credit / refund
price / amount = 0.01 # client-supplied price
currency swap # pay in a weaker currency, credited in a stronger one
integer overflow / very large qty
decimal / rounding (0.001 * 1000)Repetition / limits / logic race. Apply a coupon twice, redeem a gift card twice, exceed a per-account limit. When the limit is a check-then-act with no lock, fire a small concurrent burst at the single endpoint (logic [[race-conditions]]) so several requests pass the check before any commits. Keep the burst bounded: a handful of parallel requests is the proof, honor no_dos, never a sustained flood. Per hunt-core this is a bounded active proof, not object enumeration, so the 5-to-20 identifier ceiling does not apply, but the RoE rate cap does. Send the request to Turbo Intruder via send_to_intruder / the Burp MCP and fire it with a single-packet or synchronized-gate script so the operator watches the race live; a hand-rolled parallel curl loop hides it.
Mass assignment / parameter injection. Add fields the UI never sends (isAdmin, role, balance, verified, discount, userId) to JSON or form bodies; observe a privilege or state change.
Trust-boundary confusion. Values the server should compute but trusts from the client (total, tax, role, KYC status, account tier); flags re-sent and re-trusted on a later request.
Identity / authorization logic. An action allowed for the wrong account state (an unverified user performing a verified-only action) or against another user's object (-> [[access-control]] / hunt-idor).
A rejected tamper is not a closed door. Retry the same value in a representation the server parses but the validator missed: an alternate field the server also reads, parameter pollution (price=10&price=0.01), a nested wrapper ({"item":{"price":0.01}}), a type change (string vs number, array vs scalar), sign and precision tricks (-0, 1e-2, trailing decimals), or re-sending a server-computed field an earlier step trusted. Reorder the steps so validation runs before the value is set.
Logic flaws compound. A price or quantity tamper that touches another user's cart is logic + IDOR (hand off to hunt-idor); a coupon or limit bypass that only works under concurrency is logic + race ([[race-conditions]]). Chain them for higher impact and say so in the title - "race-condition coupon re-redemption" reads bigger than "coupon bug".
NOT confirmation: the app accepted an odd value; a 200 on a tampered request; the tampered field echoed back in the response; an order or total that merely displays wrong on your screen; a coupon that "applied" without the charge changing.
IS confirmation: the unintended end-state is realized and verified downstream - a negative or inflated balance that persists, a purchase completed at the free or discounted price (order confirmed, payment captured at the tampered amount), a workflow step skipped and its downstream effect confirmed (account provisioned, funds moved, access granted). For a race, the limit is actually exceeded (two redemptions both settled). Re-verify in a clean session, and confirm from the state only the successful abuse produces, not from the request the server merely accepted.
Rated on realized impact per hunt-core.
| Outcome | Typical |
|---|---|
| Direct financial theft, auth bypass, unlimited privilege | critical |
| Discount / refund abuse, quota bypass with money impact | high |
| Limited abuse needing preconditions | medium |
Confirmed and reusable (a generic logic-abuse pattern, no client specifics): python3 scripts/wiki-stage.py --kind technique --slug <slug> --target-page techniques/web/business-logic.md.
Append: - [ ] logic <feature> on <host> -- server recomputes price/total, enforces the state
machine, ignores extra fields, idempotency keys present; race lost after bounded burstRecord what the server enforced, so the next pass does not retest a solid boundary.
© Encod3d-Sec, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/hunt/hunt-bizlogic of Encod3d-Sec/TORCH.
Open the folder on GitHubat commit d21b6c9
Hunt Bizlogic 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hunt Bizlogic this skillEncod3d-Sec/TORCH | 329 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Deepsec Documentation Guidevercel-labs/deepsec | 8.1k | — | ~956 | Automated safety check: Pass | Apache-2.0 | |
| Skill Scannergetsentry/skills | 1k | 4 repos | ~2.5k | Automated safety check: Warn | Apache-2.0 | |
| Serenity Aleabitoreddityan-labs/serenity-aleabitoreddit | 481 | 1 repos | ~3.3k | Automated safety check: Pass | None | |
| Security Alert Triageelastic/agent-skills | 592 | 1 repos | ~3.5k | Automated safety check: Notes | Apache-2.0 | |
| Shiro Attack CLISummerSec/ShiroAttack2 | 2.6k | — | ~945 | Automated safety check: Pass | MIT |
vercel-labs/deepsec
Points the agent at deepsec's own docs to answer questions about initializing, configuring, resuming, scanning with and extending the vulnerability scanner.
getsentry/skills
Scan agent skills for security issues. An agent skill from getsentry/skills.
yan-labs/serenity-aleabitoreddit
Apply trader Serenity's (@aleabitoreddit) AI/semiconductor supply-chain analytical lens to US-stock ideas and market judgment.
elastic/agent-skills
Triage Elastic Security alerts — gather context, classify threats, create cases, and acknowledge.
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…
rundeck/rundeck
Verify if a CVE affects the project and remediate it. An agent skill from rundeck/rundeck.
Encod3d-Sec/TORCH
Runs a bug-bounty engagement through a script that tracks the current pass, builds a board of rows from recon and prints the next required action each turn.
Encod3d-Sec/TORCH
Checks that the bb, pt and ctf workflow driver is set up correctly on a machine: vault content, skill symlinks, hooks, imports and a live smoke test, with fixes for failures.
Encod3d-Sec/TORCH
Opens a visible Chromium window on a Kali VM so an operator can complete a manual login or CAPTCHA while the agent watches and acts through the chrome-devtools MCP.
Encod3d-Sec/TORCH
Runs a capture-the-flag box from first scan to root with a driver script that tracks progress and prints the next action each turn.
Encod3d-Sec/TORCH
Decides when a main pentesting agent should hand a fully-specified, mechanical exploit-compile or privilege-escalation step to a cheaper sub-agent, and how to specify that handoff safely.
Encod3d-Sec/TORCH
Adaptive web fuzzing for pentests, bug bounty and CTF work: picks the smallest suitable SecLists wordlist per target surface and calibrates filters against soft-404 responses.
Categories
Business-logic flaw hunting - workflow/state bypass, price/quantity tampering, negative/overflow values, coupon/refund abuse, mass assignment, and logic races. Hunt Bizlogic is an agent skill from Encod3d-Sec/TORCH. Business-logic flaw hunting - workflow/state bypass, price/quantity tampering, negative/overflow values, coupon/refund abuse, mass assignment, and logic races.
Hunt Bizlogic fits situations like: security work in your project.
Run `npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a claude-code`. Or copy the skill folder (skills/hunt/hunt-bizlogic in Encod3d-Sec/TORCH) into .claude/skills/hunt-bizlogic in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a codex`. Or copy the skill folder (skills/hunt/hunt-bizlogic in Encod3d-Sec/TORCH) into .agents/skills/hunt-bizlogic in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Encod3d-Sec/TORCH --skill hunt-bizlogic -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunt-bizlogic, .gemini/skills/hunt-bizlogic, .github/skills/hunt-bizlogic and .opencode/skills/hunt-bizlogic in your project.
Going by SKILL.md and its folder, Hunt Bizlogic needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
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.
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. Review the folder before installing.
Hunt Bizlogic is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Hunt Bizlogic: Deepsec Documentation Guide (vercel-labs/deepsec, 8.1k stars), Skill Scanner (getsentry/skills, 1k stars), Serenity Aleabitoreddit (yan-labs/serenity-aleabitoreddit, 481 stars) and Security Alert Triage (elastic/agent-skills, 592 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Encod3d-Sec (a GitHub user) maintains it in Encod3d-Sec/TORCH, which has 329 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on September 1, 2026.
Source: Encod3d-Sec/TORCH on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.