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/777genius/universal-agent-plugins/code-architecture-mapnpx skills add 777genius/universal-agent-plugins --skill code-architecture-mapgit clone --depth 1 https://github.com/777genius/universal-agent-pluginsWhat 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 | $0.00039 | $0.00312 |
| Opus 5 | $0.00019 | $0.00156 |
| Sonnet 5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
code-architecture-map scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Code Architecture Map
Produce a compact map of entry points, core domains, adapters, data flows, hotspots, verification points, and recommended next reads.
- Read repository instructions and primary manifests.
- Use
rg --filesto identify languages and major folders. - Locate exact entry-point names with
rg. - Use Semble for semantic entry points by feature or domain.
- Use CGC stats and complexity only when a suitable index is available.
- Read source files that confirm every important claim.
- Report architecture boundaries, risks, and the smallest useful next set of files.
Examples:
rg --files | sed -n '1,160p'
uvx --from semble==0.5.4 semble search -k 10 "main application flow" .
cgc stats . --context "$(basename "$PWD")"
cgc analyze complexity --limit 25 --context "$(basename "$PWD")"
Do not paste a giant file tree. Do not treat a semantic shortlist or graph as complete until source reads confirm it. Prefer decisions, boundaries, risks, and next reads over inventory noise.
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 · 34 lines · 39 tokens per session scan A cee69294199b
code-architecture-map is a skill published in the GitHub repository 777genius/universal-agent-plugins (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 39 tokens to every session and 312 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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