Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/akashrpatil/awesome-offensive-security-skillsnpx agentmods add skills/akashrpatil/awesome-offensive-security-skills/access-controlWrote 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/akashrpatil/awesome-offensive-security-skills/access-control)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/access-control"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/access-control/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/access-control"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/access-control.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.01368 |
| Opus 5 | $0.00013 | $0.00684 |
| Sonnet 5 | $0.00005 | $0.00274 |
| Haiku 4.5 | $0.00003 | $0.00137 |
Grade A, and why
Access Control — Complete Deep Dive scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
tools: [burp-suite, curl, sqlmap, ffuf, python, hashcat, ysoserial] This is a copy
100% identical to Access Control — Complete Deep Dive — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Access Control — Complete Deep Dive
Deep-Dive Lab Playbook — Every PortSwigger lab variant with exact payloads, bypass techniques, and zero-day extensions. 🟢 Apprentice 🟡 Practitioner 🔴 Expert
When to Use
- BSCP certification prep
- Real-world bug bounty hunting
- Building exploitation chains
- Understanding bypass techniques
Prerequisites
- Burp Suite Professional
- Burp Collaborator / interactsh
- Browser with proxy configured
Workflow
Phase 1: Reconnaissance
- Identify input vectors, parameters, and application behavior.
Phase 2: Exploitation
- Apply standard lab payloads.
Phase 3: Zero-Day Escalation
- Fuzz filters, bypass WAFs, and chain with other vulns.
Lab Playbooks
Lab 1: Unprotected admin 🟢 APPRENTICE
/robots.txt reveals /administrator-panel. Navigate directly.
Lab 2: Unpredictable URL admin 🟢 APPRENTICE
Check page source/JS for leaked admin URL: adminPanelTag.setAttribute('href', '/admin-abcd1234');
Lab 3: Role via request parameter 🟢 APPRENTICE
Cookie: session=xxx; Admin=true
Change Admin=false to Admin=true or roleid=2.
Lab 4: Role modified in profile 🟢 APPRENTICE
{"email":"[email protected]","roleid":2}
Add roleid to the profile update JSON request (mass assignment).
Lab 5: User ID in request param 🟢 APPRENTICE
GET /my-account?id=carlos HTTP/1.1
Lab 6: Unpredictable user IDs 🟡 PRACTITIONER
Find victim's GUID in blog posts/comments, then: /my-account?id=VICTIM-GUID.
Lab 7: Data leakage in redirect 🟡 PRACTITIONER
GET /my-account?id=carlos HTTP/1.1
Response body contains API key BEFORE the 302 redirect fires.
Lab 8: Password disclosure 🟡 PRACTITIONER
/my-account?id=administrator — password visible in masked input field (view source).
Lab 9: IDOR 🟢 APPRENTICE
GET /download-transcript/2.txt HTTP/1.1
Change 1.txt to 2.txt etc to download other users' chat transcripts.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 169 lines · 26 tokens per session scan A 66a689d2017f
Access Control — Complete Deep Dive is a skill published in the GitHub repository akashrpatil/awesome-offensive-security-skills (4 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 1,368 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to Access Control — Complete Deep Dive, differing in 0 lines, and is treated as a copy.
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