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.
npx skills add bhuvangupta/vapt-claude --skill vapt-graphqlgit clone --depth 1 https://github.com/bhuvangupta/vapt-claudeWrote 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/bhuvangupta/vapt-claude/vapt-graphql)<a href="https://agentmods.dev/skills/bhuvangupta/vapt-claude/vapt-graphql"><img src="https://agentmods.dev/badge/skills/bhuvangupta/vapt-claude/vapt-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/bhuvangupta/vapt-claude/vapt-graphql"><img src="https://agentmods.dev/badge/skills/bhuvangupta/vapt-claude/vapt-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 | $0.00000 | $0.02970 |
| Opus 5 | $0.00000 | $0.01485 |
| Sonnet 5 | $0.00000 | $0.00594 |
| Haiku 4.5 | $0.00000 | $0.00297 |
Grade B, and why
vapt-graphql scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Cloud metadata endpointmediumServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
-d '{"query":"mutation { importData(url: \"http://169.254.169.254/latest/meta-data/\") { result } }"}' \ Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
code=$(curl -s -o /dev/null -w "%{http_code}" -X POST \ How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GraphQL Security Testing
When Invoked
The user runs /vapt graphql <url> for deep GraphQL-specific security testing.
This is a specialized extension of vapt-api. While vapt-api covers basic GraphQL checks (introspection, depth, batching), this skill provides comprehensive GraphQL attack surface analysis.
Phase 1: GraphQL Discovery & Fingerprinting
1.1 Endpoint Detection
# Common GraphQL endpoint paths
for path in /graphql /graphiql /v1/graphql /v2/graphql /api/graphql /query /gql /graphql/console /altair /playground; do
code=$(curl -s -o /dev/null -w "%{http_code}" -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{__typename}"}' <url>$path)
[ "$code" != "404" ] && [ "$code" != "405" ] && echo "GraphQL candidate: $path ($code)"
done
1.2 Engine Fingerprinting
Identify the GraphQL server implementation:
# Apollo Server detection
curl -s -X POST -H "Content-Type: application/json" \
-d '{"query":"{__typename}"}' <url>/graphql | grep -i apollo
# Check for engine-specific headers
curl -sI -X POST -H "Content-Type: application/json" \
-d '{"query":"{__typename}"}' <url>/graphql
Look for indicators of:
- Apollo Server (Node.js)
- graphql-yoga (Node.js)
- Hasura (auto-generated)
- AWS AppSync
- Graphene (Python)
- graphql-java
- Strawberry (Python)
- Hot Chocolate (.NET)
Engine detection informs which vulnerabilities are most likely.
Phase 2: Schema Reconnaissance
2.1 Full Introspection Query
curl -s -X POST -H "Content-Type: application/json" \
-d '{"query":"{ __schema { queryType { name } mutationType { name } subscriptionType { name } types { name kind description fields(includeDeprecated: true) { name description args { name type { name kind ofType { name kind } } } type { name kind ofType { name kind } } isDeprecated deprecationReason } inputFields { name type { name kind ofType { name kind } } } enumValues { name } possibleTypes { name } } directives { name description locations args { name type { name kind ofType { name kind } } } } } }"}' \
<url>/graphql
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.
- 9d ago First seen · 363 lines · 0 tokens per session scan B dee76e326fc2
vapt-graphql is a skill published in the GitHub repository bhuvangupta/vapt-claude (1 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,970 tokens. A static security scan graded it B with 2 findings (cloud metadata endpoint, 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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