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 skills add byx-darwin/gitflow-cli --skill gf-architecture-diagramgit clone --depth 1 https://github.com/byx-darwin/gitflow-cliWrote 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/byx-darwin/gitflow-cli/gf-architecture-diagram)<a href="https://agentmods.dev/skills/byx-darwin/gitflow-cli/gf-architecture-diagram"><img src="https://agentmods.dev/badge/skills/byx-darwin/gitflow-cli/gf-architecture-diagram/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/byx-darwin/gitflow-cli/gf-architecture-diagram"><img src="https://agentmods.dev/badge/skills/byx-darwin/gitflow-cli/gf-architecture-diagram.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00090 | $0.02028 |
| Opus 5.5 | $0.00036 | $0.00811 |
| Sonnet 5.5 | $0.00018 | $0.00406 |
| Haiku 4.5 | $0.00009 | $0.00203 |
Grade A, and why
gf-architecture-diagram 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 24d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gf-architecture-diagram — Dependency-Derived Architecture Diagrams
Five-stage protocol: detect → extract → converge on format → render → verify.
Language-agnostic protocol in this file; dependency extraction in
references/<lang>.md. Extraction is structured parsing, never semantic
inference — every node and edge must trace back to a manifest entry.
Preconditions
- Read access to the target source tree
dot(Graphviz) installed for renderingpython3(standard library only) forscripts/review_svg.py- The language layer's extraction tool installed (see
references/<lang>.md)
When to Use
| English | 中文 | Context |
|---|---|---|
| regenerate architecture diagram | 重新生成架构图 | manifest changed, diagram may have drifted |
| verify diagram matches dependencies | 验证架构图与依赖一致 | audit before a release |
| add a language layer | 新增语言层 | extend to go/node/python/java |
| architecture overview | 架构总览图 | onboarding, design review |
When NOT to Use
| Scenario | Why Not | Use Instead |
|---|---|---|
| Hand-drawing a conceptual diagram not tied to real dependencies | This skill only renders what the manifest structurally contains | A design doc's own diagram, drawn by hand |
| Detecting code smells or complexity | Different problem class | /gf-smell |
| Auditing licenses or vulnerabilities | Different problem class | /gf-security-check |
| Producing a raster image for a slide deck | This skill's contract is SVG only | Export SVG externally with your own tool |
Stage 0: Detect Language
Detect the project language(s) by following gf-quality/references/detector.md.
Read gf-quality/references/profiles/<lang>.md for shared tool and version facts;
keep the extraction procedure in this skill's own language reference.
Do not implement a second detection mechanism. Consume its output
(language · path · workspace type) and load the matching references/<lang>.md.
For multi-language projects, use the selection interaction that reference
already defines; generate one diagram per selected language.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 24d ago Changed · +6 lines 8ccc15c6fdd1
- 28d ago First seen · 193 lines · 90 tokens per session scan A b4727ff50a1f
gf-architecture-diagram is a skill published in the GitHub repository byx-darwin/gitflow-cli (3 stars, last pushed 22d ago), licensed MIT. It adds 90 tokens to every session and 2,028 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-19.
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