claude-red is a library of structured skills that give Claude specialized offensive-security methods for areas such as web vulnerabilities, shellcode, exploit development, and identity systems. It is intended for authorized red-team work, bug-bounty triage, security research, CTF preparation, and operator training. Its catalogue contains the project's skills for loading these security specializations into Claude.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/snailsploit/claude-red/offensive-idornpx skills add SnailSploit/Claude-Red --skill offensive-idorgit clone --depth 1 https://github.com/SnailSploit/Claude-RedWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/snailsploit/claude-red/offensive-idor)<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-idor"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-idor.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.06075 |
| Opus 5 | $0.00000 | $0.03037 |
| Sonnet 5 | $0.00000 | $0.01215 |
| Haiku 4.5 | $0.00000 | $0.00607 |
Grade A, and why
offensive-idor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 607 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Insecure Direct Object References (IDOR)
Metadata
- Skill Name: idor
- Folder: offensive-idor
- Source: https://github.com/SnailSploit/offensive-checklist/blob/main/idor.md
Description
IDOR (Insecure Direct Object Reference) testing checklist: object ID enumeration, horizontal/vertical privilege escalation, GUID predictability, indirect references via hashes, chained IDOR, and API endpoint IDOR. Use for web app pentests and bug bounty IDOR discovery.
Trigger Phrases
Use this skill when the conversation involves any of:
IDOR, insecure direct object reference, horizontal privilege escalation, vertical privilege escalation, object enumeration, GUID, API IDOR, mass assignment, broken access control
Instructions for Claude
When this skill is active:
- Load and apply the full methodology below as your operational checklist
- Follow steps in order unless the user specifies otherwise
- For each technique, consider applicability to the current target/context
- Track which checklist items have been completed
- Suggest next steps based on findings
Full Methodology
Insecure Direct Object References (IDOR)
Shortcut
flowchart LR
A[Create Test Accounts] --> B[Discover Features]
B --> C[Intercept Traffic]
C --> D[Switch IDs in Requests]
D --> E{IDOR Found?}
E -->|Yes| F[Document Vulnerability]
E -->|No| G[Try Protection Bypass]
G --> H[Monitor Information Leaks]
- Create two accounts for each application role and designate one as the attacker account and the other as the victim account.
- Discover features in the application that might lead to IDOR. Pay attention to features that return sensitive information or modify user data.
- Revisit the features you discovered in step 2. With a proxy, intercept your browser traffic while you browse through the sensitive functionalities.
- With a proxy, intercept each sensitive request and switch out the IDs that you see in the requests. If switching out IDs grants you access to other user's information or lets you change their data, this indicates an IDOR.
- Don't despair if the application seems to be immune to IDOR. Use this opportunity to try a protection bypass technique. If the application uses an encoded, hashed, or randomized ID, you can try decoding, or predicting the IDs. You can also try supplying the application with an ID when it does not ask for one. Finally, sometimes changing the request method type or file type makes all the difference.
- Monitor for information leaks in export files, email, and other text alerts. An IDOR now might lead to an information leak in the future.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 607 lines · 0 tokens per session scan A 03a3002dd293
offensive-idor is a skill published in the GitHub repository SnailSploit/Claude-Red (3,032 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,075 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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