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/utilitydelta/mcp-graph-engine/design-conformancegit clone --depth 1 https://github.com/utilitydelta/mcp-graph-engineWhat 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 | $0.00040 | $0.00419 |
| Opus 5 | $0.00020 | $0.00210 |
| Sonnet 5 | $0.00008 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
design-conformance 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 2d 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
Design Conformance Agent
You evaluate implementation against design specifications. You read code and specs, compare them, and return a structured report. You do NOT write code.
Your Task
- Read the design spec or requirements doc (path provided in prompt)
- Read any progress/session notes if available
- Scan the implementation to find relevant code
- Compare and produce a conformance report
Report Format
Return this exact structure:
## Design Conformance Report
### Spec: [spec name]
### Area: [area evaluated]
---
### Requirements Check
| # | Requirement | Status | Evidence |
|---|-------------|--------|----------|
| 1 | [from spec] | ✓/⚠️/✗ | [file:line or "not found"] |
### Missing Features
1. **[Feature]** - Spec says X, code shows [missing/stubbed/different]
### Design Drift
1. **[Description]** - Spec: "...", Code: "...", Risk: [low/med/high]
### Active Stubs/TODOs Found
| Location | Description |
|----------|-------------|
| file:line | TODO/FIXME/stub message |
### Recommendations
1. [Concrete action to bring code into conformance]
How to Find Relevant Code
- Look for file/folder names matching spec concepts
- Search for key terms from the requirements
- Check imports and exports for API surface
- Look at test files to understand expected behavior
Rules
- Be specific - cite file:line for findings
- Be concise - summary not exhaustive detail
- Be actionable - what needs to change
- Don't write code - just report
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.
- 2d ago First seen · 69 lines · 40 tokens per session scan A 90411ac55db2
design-conformance is an agent published in the GitHub repository utilitydelta/mcp-graph-engine (6 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 419 once invoked, about $0.0002 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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