Borrowing it
Nothing to install: this file belongs to mtnyilmaz/agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mtnyilmaz/agents/main/.agents/skills/sast-graphql/SKILL.mdgit clone --depth 1 https://github.com/mtnyilmaz/agentsWrote 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/mtnyilmaz/agents/sast-graphql)<a href="https://agentmods.dev/skills/mtnyilmaz/agents/sast-graphql"><img src="https://agentmods.dev/badge/skills/mtnyilmaz/agents/sast-graphql/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/mtnyilmaz/agents/sast-graphql"><img src="https://agentmods.dev/badge/skills/mtnyilmaz/agents/sast-graphql.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 | $0.00115 | $0.03483 |
| Opus 5.5 | $0.00046 | $0.01393 |
| Sonnet 5.5 | $0.00023 | $0.00697 |
| Haiku 4.5 | $0.00012 | $0.00348 |
Grade A, and why
sast-graphql scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLlowData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
const data = await fetch('https://api.internal/graphql', { method: 'POST', Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
> - `JSON.stringify({ query: `...${userPart}...` })`, `axios.post(url, { query: builtFromInput })` How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Injection Detection
You are performing a focused security assessment to find GraphQL injection vulnerabilities. This skill uses a two-phase approach with subagents: recon (confirm GraphQL usage and find every location where a GraphQL operation document is assembled unsafely) then taint (confirm whether user-supplied input reaches those assembly sites).
Prerequisites: sast/architecture.md must exist. Run the analysis skill first if it doesn't.
What is GraphQL Injection
GraphQL injection occurs when user-controlled data is embedded into the GraphQL document (the query, mutation, or subscription string) rather than passed only through the variables map. The parser then interprets attacker-controlled syntax — new fields, aliases, directives, or fragments — which can bypass intent, reach unauthorized resolvers, or change server-side behavior when that document is executed or forwarded.
The core pattern: unvalidated user input alters the structure or text of the GraphQL operation string passed to execute, graphql, a gateway client, or an HTTP body query field built from string operations.
What GraphQL Injection IS
- Concatenating or interpolating user input into an operation string:
`query { user(id: "${id}") { name } }`,"query { user(id: \"" + id + "\") { name } }" - Building the JSON
queryfield for a downstream GraphQL HTTP request with string concat from request body or params - Forwarding
req.body.query(or similar) into another interpolated template that wraps or extends the operation - Dynamic
gql/graphql-tagtemplate literals where a non-static expression changes document structure (not just a bound variable value inside a static document) - Server-side code that selects or assembles operation text from user input (including "persisted query" ID → document maps without allowlisting)
- Wrappers around
graphql.execute(),graphqlHTTP, Yoga/Apollo request pipeline where the first argument (document/source) is built from variables that could be user-influenced
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.
- 1mo ago First seen · 309 lines · 115 tokens per session scan A 59fb8942fcca
sast-graphql is a skill published in the GitHub repository mtnyilmaz/agents (6 stars, last pushed 5mo ago), licensed MIT. It adds 115 tokens to every session and 3,483 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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