security-bounty-hunter
Skill0 starsChanged 4 months agoMITView on GitHub
Hunt for exploitable, bounty-worthy security issues in repositories. Focuses on remotely reachable vulnerabilities that qualify for real reports instead of noisy local-only findings.
14 other projects use a version of this, 11 of them edited.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codeedited, first seen Nov 8, 2026
- pankaj-mahaur/Agent-Daemonedited, first seen Nov 6, 2026
- drvoss/everything-copilot-cliedited, first seen Oct 26, 2026
- davidanthonyn/claude-skillsedited, first seen Oct 20, 2026
- Ronnasayd/aippedited, first seen Oct 20, 2026
- gongyijie85/dsh-eccedited, first seen Oct 13, 2026
Other versions14 projects use a version of this.
Word for word · 2
- jdanigo/hydraia★ 8100% same
- romaintoso78/claude-skills★ 1100% same
Edited · 11
- Fmarzochi/EGC★ 6199% same
- drvoss/everything-copilot-cli★ 4841% same
- woxiangyangzhimao/skills★ 1491% same
- pekral/cursor-rules★ 1013% same
- gongyijie85/dsh-ecc★ 896% same
- NISTALTALSON/essential-claude-skills★ 196% same
- Rojios/everything-claude-code★ 199% same
- Ronnasayd/aipp★ 196% same
- SamuelNDCE/claude-super-skill-library★ 199% same
- davidanthonyn/claude-skills★ 099% same
1 more not listed
Wrote their own version · 1
- thanvish21/hcc-bundle★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository270 other files it gives its agents.
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- android-clean-architectureSkill
- angular-developerSkill
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- api-designSkill
- architecture-decision-recordsSkill
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- automation-audit-opsSkill
- autonomous-agent-harnessSkill
- autonomous-loopsSkill
- backend-patternsSkill
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- browser-qaSkill
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- canary-watchSkill
- carrier-relationship-managementSkill
- cisco-ios-patternsSkill
- ckSkill
- claude-devfleetSkill
- clickhouse-ioSkill
- click-path-auditSkill
- codebase-onboardingSkill
- codehealth-mcpSkill
- code-tourSkill
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- competitive-platform-analysisSkill
- competitive-report-structureSkill
- compose-multiplatform-patternsSkill
- config-gcSkill
- configure-eccSkill
- connections-optimizerSkill
- content-engineSkill
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- context-budgetSkill
- continuous-agent-loopSkill
- continuous-learningSkill
- continuous-learning-v2Skill
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- cost-trackingSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. 6 are common, 0 are distinctive, and 0 are very specific to this project.
6
Common
Most of the 11 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 11
Use this when the goal is practical vulnerability discovery for responsible disclosure or bounty submission, not a broad best-practices …
- Common: line 52
Check scope first: program rules, SECURITY.md, disclosure channel, and exclusions.
- Common: line 54
Run static tooling where it helps, but treat it as triage input only.
- Common: line 55
Read the real code path end to end.
- Common: line 58
Check for duplicates before drafting a report.
- Common: line 70
keep only findings with a clear network or user-controlled route
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Security Bounty Hunter
Use this when the goal is practical vulnerability discovery for responsible disclosure or bounty submission, not a broad best-practices review.
When to Use
- Scanning a repository for exploitable vulnerabilities
- Preparing a Huntr, HackerOne, or similar bounty submission
- Triage where the question is "does this actually pay?" rather than "is this theoretically unsafe?"
How It Works
Bias toward remotely reachable, user-controlled attack paths and throw away patterns that platforms routinely reject as informative or out of scope.
In-Scope Patterns
These are the kinds of issues that consistently matter:
| Pattern | CWE | Typical impact |
| SSRF through user-controlled URLs | CWE-918 | internal network access, cloud metadata theft |
| Auth bypass in middleware or API guards | CWE-287 | unauthorized account or data access |
| Remote deserialization or upload-to-RCE paths | CWE-502 | code execution |
| SQL injection in reachable endpoints | CWE-89 | data exfiltration, auth bypass, data destruction |
| Command injection in request handlers | CWE-78 | code execution |
| Path traversal in file-serving paths | CWE-22 | arbitrary file read or write |
| Auto-triggered XSS | CWE-79 | session theft, admin compromise |
Skip These
These are usually low-signal or out of bounty scope unless the program says otherwise:
- Local-only
pickle.loads,torch.load, or equivalent with no remote path eval()orexec()in CLI-only toolingshell=Trueon fully hardcoded commands- Missing security headers by themselves
- Generic rate-limiting complaints without exploit impact
- Self-XSS requiring the victim to paste code manually
- CI/CD injection that is not part of the target program scope
- Demo, example, or test-only code
Workflow
- Check scope first: program rules, SECURITY.md, disclosure channel, and exclusions.
- Find real entrypoints: HTTP handlers, uploads, background jobs, webhooks, parsers, and integration endpoints.
- Run static tooling where it helps, but treat it as triage input only.
- Read the real code path end to end.
- Prove user control reaches a meaningful sink.
- Confirm exploitability and impact with the smallest safe PoC possible.
- Check for duplicates before drafting a report.
Example Triage Loop
semgrep --config=auto --severity=ERROR --severity=WARNING --jsonThen manually filter:
- drop tests, demos, fixtures, vendored code
- drop local-only or non-reachable paths
- keep only findings with a clear network or user-controlled route
Report Structure
## Description
[What the vulnerability is and why it matters]
## Vulnerable Code
[File path, line range, and a small snippet]
## Proof of Concept
[Minimal working request or script]
## Impact
[What the attacker can achieve]
## Affected Version
[Version, commit, or deployment target tested]Quality Gate
Before submitting:
- The code path is reachable from a real user or network boundary
- The input is genuinely user-controlled
- The sink is meaningful and exploitable
- The PoC works
- The issue is not already covered by an advisory, CVE, or open ticket
- The target is actually in scope for the bounty program
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

