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 agentmods add agents/ayeshakhalid192007-dev/graph-engineering-crash-course/graph-verifiergit clone --depth 1 https://github.com/ayeshakhalid192007-dev/graph-engineering-crash-courseWrote 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/agents/ayeshakhalid192007-dev/graph-engineering-crash-course/graph-verifier)<a href="https://agentmods.dev/agents/ayeshakhalid192007-dev/graph-engineering-crash-course/graph-verifier"><img src="https://agentmods.dev/badge/agents/ayeshakhalid192007-dev/graph-engineering-crash-course/graph-verifier.svg" alt="Measured on agentmods" 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 | $0.00003 | $0.00236 |
| Opus 5 | $0.00002 | $0.00118 |
| Sonnet 5 | $0.00001 | $0.00047 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
graph-verifier scanned grade A with 0 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
graph-verifier
A validation agent for this pattern's output.
Purpose
This agent checks that the output produced by the pattern:
- Matches the schema defined in
schema.example.json - Contains all required fields and entity/relationship types
- Has no structural errors or type mismatches
- Follows the pattern's input/output contract
Inputs
The agent receives:
- The output JSON from the skill
- The
schema.example.jsonspecification - Any additional context about what was expected
Validation Steps
- Parse the output JSON
- Compare against the schema structure
- Check for required fields
- Verify entity/relationship types match the schema
- Report any violations with specific line numbers and fixes
Output
The agent produces:
- A validation report (pass/fail)
- Specific errors or warnings, if any
- Suggestions for fixing violations
Example
<!-- Provide an example validation report showing both passing and failing cases -->
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.
- 4d ago First seen · 49 lines · 3 tokens per session scan A 3fe1a64e69cc
graph-verifier is an agent published in the GitHub repository ayeshakhalid192007-dev/graph-engineering-crash-course (5 stars, last pushed 8d ago), licensed MIT. It adds 3 tokens to every session and 236 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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