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/managedcode/geminisharpsdk/mcaf-architecture-overviewnpx skills add managedcode/GeminiSharpSDK --skill mcaf-architecture-overviewgit clone --depth 1 https://github.com/managedcode/GeminiSharpSDKWrote 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/skills/managedcode/geminisharpsdk/mcaf-architecture-overview)<a href="https://agentmods.dev/skills/managedcode/geminisharpsdk/mcaf-architecture-overview"><img src="https://agentmods.dev/badge/skills/managedcode/geminisharpsdk/mcaf-architecture-overview.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 | $0.00061 | $0.00778 |
| Opus 5 | $0.00030 | $0.00389 |
| Sonnet 5 | $0.00012 | $0.00156 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
mcaf-architecture-overview 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCAF: Architecture Overview
Output
docs/Architecture/Overview.md(create or update)
Architecture Thinking (keep it a map)
This doc is the global map: boundaries, modules, and dependency rules.
- Keep it lean and structural:
- modules/boundaries + responsibility + dependency direction
- Mermaid diagrams are the primary context:
- system/module map (blocks + dependency direction)
- interfaces/contracts map (how modules talk)
- key classes/types map (high-signal only; not exhaustive)
- Treat it as the main “start here” card for humans and AI agents:
- diagram elements must use real names (no placeholders)
- every diagram element must have an explicit reference link (docs/code) so an agent can navigate without repo-wide scanning
- keep diagrams readable; if a diagram becomes “spaghetti”, split by boundary and link out
- Keep behaviour out of the overview:
- feature flows live in
docs/Features/* - decision-specific diagrams/invariants live in
docs/ADR/*
- feature flows live in
- Anti-“AI slop” rule: never invent components/services/DBs — only document what exists (or what this change will explicitly add).
Workflow
- Open
docs/Architecture/Overview.mdif it exists; otherwise start fromdocs/templates/Architecture-Template.md.- Ensure it contains a short
## Scoping (read first)section (this is how we prevent “scan everything” behaviour).
- Ensure it contains a short
- Identify the real top-level boundaries:
- entry points (HTTP/API, CLI, UI, jobs, events)
- modules/layers (group by folders/namespaces, not individual files)
- external dependencies (only those that actually exist)
- Fill the Summary so a new engineer can orient in ~1 minute.
- Maintain the Mermaid diagrams (the map people and agents start from):
- system/module map: keep it small (roughly 8–15 nodes), label arrows (calls/events/reads/writes)
- interfaces/contracts map: show ports/interfaces, APIs, events, queues, file formats (only what exists)
- key classes/types map: capture the main types that matter across modules (avoid inventories)
- don’t invent DB/queues/services/modules that aren’t present
- Fill the module index:
- one row per diagram node (not every internal module/class)
- responsibilities and “depends on” must be concrete
- prefer a short navigation list with links over big tables/inventories
- Write explicit dependency rules:
- what is allowed
- what is forbidden
- how integration happens (sync / async / shared lib)
- Add a short “Key decisions (ADRs)” section:
- link to the ADRs that define boundaries, dependencies, and major cross-cutting patterns
- keep it link-based (no detailed flows here)
- Link out to deeper docs:
- ADRs for key decisions
- Features for behaviour details
- Testing/Development for how to run and verify
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.
- 3d ago First seen · 66 lines · 61 tokens per session scan A 8a7ca8a425e7
mcaf-architecture-overview is a skill published in the GitHub repository managedcode/GeminiSharpSDK (2 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 778 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 2026-08-31.
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