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/concern-clusterergit 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 | $0.00026 | $0.00365 |
| Opus 5 | $0.00013 | $0.00182 |
| Sonnet 5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
concern-clusterer 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
Concern Clusterer
Group code changes by architectural layer for optimal replay ordering.
Layers (typical build order)
- Data Models — types, structs, enums representing domain concepts
- Traits/Interfaces — contracts between components
- Core Logic — business rules, algorithms, computations
- Integration — how components connect, glue code
- API Surface — public interface exposed to users
- Infrastructure — config, build, deployment, CI
- Tests — verification code
Rules
- Assign each change to ONE primary layer
- Group tightly coupled changes even if in different files
- A feature that spans layers gets split across clusters
- Order clusters by dependency (models → traits → logic → API)
Output Format
## Cluster 1: {Name}
**Layer**: Data Models
**Changes**:
- `TypeA` in `path/file.rs`
- `TypeB` in `path/file.rs`
**Cohesion**: {why these belong together}
## Cluster 2: {Name}
**Layer**: Core Logic
**Depends on**: Cluster 1
**Changes**:
- `fn_process()` in `path/file.rs`
**Cohesion**: {why these belong together}
## Build Order
1. Cluster 1 (no dependencies)
2. Cluster 2 (depends on Cluster 1)
3. ...
Keep clusters focused. Smaller clusters with clear boundaries are better than large mixed ones.
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 · 53 lines · 26 tokens per session scan A 38995af11732
concern-clusterer is an agent published in the GitHub repository utilitydelta/mcp-graph-engine (6 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 365 once invoked, about $0.0001 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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