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 skills/mendixlabs/mxcli/graph-analysisnpx skills add mendixlabs/mxcli --skill graph-analysisgit clone --depth 1 https://github.com/mendixlabs/mxcliWhat 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 | $0.00050 | $0.03248 |
| Opus 5 | $0.00025 | $0.01624 |
| Sonnet 5 | $0.00010 | $0.00650 |
| Haiku 4.5 | $0.00005 | $0.00325 |
Grade A, and why
graph-analysis 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Graph Analysis: Impact Assessment & Architecture Evaluation
Use this skill when assessing the impact of a change, identifying risky elements, evaluating module health, or planning a structural refactor. The graph tables model the entire project as a dependency graph and expose topology metrics on top of it.
When to Read This Skill
- Before modifying an entity or microflow that might be widely used
- Before moving elements between modules
- When assessing architectural health (coupling, cohesion, god nodes)
- When planning to split a module or extract a bounded context
- When identifying dead code to remove
Setup: Two-Step Refresh
Two separate commands are needed. The full catalog must exist before community detection runs.
# Step 1: Build the full catalog (activities, widgets, cross-references)
# Skip if already fresh — check .mxcli/catalog.db mtime
./mxcli -p app.mpr -c "REFRESH CATALOG FULL"
# Step 2: Run graph algorithms (community detection, centrality, layers, cycles)
./mxcli -p app.mpr -c "REFRESH CATALOG COMMUNITIES"
What each step populates:
| Step | Tables populated |
|---|---|
REFRESH CATALOG FULL |
GRAPH_GOD_NODES, GRAPH_MODULE_COUPLING, GRAPH_MODULE_COHESION, GRAPH_DEAD_ASSETS, GRAPH_ENTITY_HOTSPOTS, GRAPH_MODULE_DEPENDENCIES, GRAPH_REFKIND_DISTRIBUTION |
REFRESH CATALOG COMMUNITIES |
COMMUNITIES, COMMUNITY_SUMMARY, GRAPH_CYCLES, GRAPH_LAYERS, GRAPH_CENTRALITY, GRAPH_INTEGRATION_SURFACE |
REFRESH CATALOG COMMUNITIES with a resolution modifier:
REFRESH CATALOG COMMUNITIES— default resolution (balanced granularity)REFRESH CATALOG COMMUNITIES resolution 0.6— coarser clusters (fewer, larger communities; good for monolith-to-multi-app planning)REFRESH CATALOG COMMUNITIES resolution 2.0— finer clusters (more, smaller communities; good for identifying sub-modules within a large module)
Use Case 1: Pre-Change Impact Assessment
Run before modifying any entity, microflow, or association. Takes under a minute.
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.
- yesterday First seen · 310 lines · 50 tokens per session scan A 0793fc59f895
graph-analysis is a skill published in the GitHub repository mendixlabs/mxcli (115 stars, last pushed 2d ago), licensed Apache-2.0. It adds 50 tokens to every session and 3,248 once invoked, about $0.0003 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 2026-08-30.
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