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.
git clone --depth 1 https://github.com/WoJiSama/skill-based-architectureWrote 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/rules/wojisama/skill-based-architecture/workflow)<a href="https://agentmods.dev/rules/wojisama/skill-based-architecture/workflow"><img src="https://agentmods.dev/badge/rules/wojisama/skill-based-architecture/workflow/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/rules/wojisama/skill-based-architecture/workflow"><img src="https://agentmods.dev/badge/rules/wojisama/skill-based-architecture/workflow.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 | $0.00856 | $0.00856 |
| Opus 5.5 | $0.00342 | $0.00342 |
| Sonnet 5.5 | $0.00171 | $0.00171 |
| Haiku 4.5 | $0.00086 | $0.00086 |
Grade A, and why
workflow 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 26d 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 — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cursor Workflow Rule
This repo is the skill-based-architecture meta-skill itself. Formal docs live at repo root. Read SKILL.md first — it is the router.
Quick Routing (survives context truncation)
Task routes live in references/self-hosting-routing.yaml.
For every new task:
- Read
SKILL.md. - Read
references/self-hosting-routing.yaml. - Match exactly one route by
labels,trigger_examples, and task intent; if none matches, useother. - Follow only that route's
workflow; the route does not preload project knowledge. - Let the workflow inspect the smallest evidence that can decide the next action, then pull later knowledge only when that unresolved decision requires it.
Auto-Triggers
- New task in same session → always re-match the route above. After a route change, read the new workflow; after compaction, recover only the current workflow and decision-relevant evidence. Only one clear read-only or fixed-contract maintenance action/check with no new desired behavior executes directly. A request that adds or changes user-visible behavior, a business flow/state, or an external contract first reaches
requirement-ready; if meaning is incomplete, return current understanding, real risk/conflict, and the minimum normative question without an implementation Plan. Then establish a Task Anchor, prove the current owner and Current -> Target untilimplementation-ready, and only afterward derive a concise harness-native Plan before mutation. Present only useful alignment, do not repeat visible steps in chat, write user-facing messages in the user's natural language, and explain any internal term in one plain sentence where it appears; run the compact Anchor Checkpoint before each main step. This is Session recitation, not planning-file persistence. Can't tell if context compacted? Re-read the current workflow. - Before any requested commit/push/MR/deploy/publish delivery, enter
templates/skill/workflows/task-closure.md;Ready for Deliveryis not completion, and Closure remains open until the requested artifact is verified. - Closure checks fire by blast-radius bucket (path-based classification of files changed):
- A (entry shells / SKILL.md / routing yaml / scripts /
*.tpl) → full AAR + smoke-test + path-integrity gates - B (template rules/workflows non-example, references linked from SKILL.md,
workflows/full-migration.md) → lightweight AAR only - C (README, examples, docs, UPSTREAM-CHANGES, references not linked from SKILL.md) → skip closure entirely
- Multiple files in one task → take the max bucket. Path not in any list → default B. Trivial edit (typo / whitespace) in an A-bucket file still = full closure (bucket measures what could break, not what changed).
- Pure Q&A / code explanation / read-only investigation / advice with no file changes → exempt; no AAR, no smoke-test.
- Full path lists + canonical bucket rules:
references/protocols.md§ Task Closure Protocol.
- A (entry shells / SKILL.md / routing yaml / scripts /
- When adding to
templates/→ apply the "would two real projects disagree?" admission test (templates/ANTI-TEMPLATES.md)
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.
- 26d ago Changed · +22 tokens per session 39a4d03f4117
- 1mo ago First seen · 42 lines · 834 tokens per session scan A 9363fd739cc6
workflow is a cursor rule published in the GitHub repository WoJiSama/skill-based-architecture (618 stars, last pushed 27d ago), licensed MIT. It adds 856 tokens to every session, about $0.0034 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 2026-08-30.
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llm-wiki-quality
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angular-20
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