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 josix/agent-flow --skill skill-agent-mappinggit clone --depth 1 https://github.com/josix/agent-flowWrote 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/josix/agent-flow/skill-agent-mapping)<a href="https://agentmods.dev/skills/josix/agent-flow/skill-agent-mapping"><img src="https://agentmods.dev/badge/skills/josix/agent-flow/skill-agent-mapping/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/josix/agent-flow/skill-agent-mapping"><img src="https://agentmods.dev/badge/skills/josix/agent-flow/skill-agent-mapping.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 | $0.00034 | $0.02453 |
| Opus 5.5 | $0.00014 | $0.00981 |
| Sonnet 5.5 | $0.00007 | $0.00491 |
| Haiku 4.5 | $0.00003 | $0.00245 |
Grade A, and why
skill-agent-mapping 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill-Agent Mapping
Central registry documenting the ownership and consumption relationships between skills and agents in the multi-agent orchestration system.
Overview
Skills are domain expertise modules that define behavioral patterns and best practices. Each skill has:
- Owner Agent: The agent responsible for maintaining and embodying the skill
- Consumer Agents: Agents that reference the skill for guidance or constraints
Quick Reference Table
| Skill | Owner | Consumers | Purpose |
|---|---|---|---|
| exploration-strategy | Riko | Senku, Loid, Speedwagon | Codebase exploration patterns |
| task-classification | Senku | Riko, Orchestrator | Task routing and complexity assessment |
| prompt-refinement | Senku | Orchestrator | Ambiguous request clarification |
| verification-gates | Alphonse | Loid, Lawliet | Quality validation checkpoints |
| team-decision | Senku | Orchestrator | Parallel vs sequential execution choice |
| agent-behavior-constraints | System | All | Universal behavioral guardrails |
| graphify-usage | Riko | Senku, Lawliet | Knowledge graph query patterns and interpretation |
| personal-kb-usage | Riko | Senku, Lawliet | Cross-project personal knowledge base queries |
| agentsview-usage | Riko | Senku, Lawliet | Prior session-history search to leverage and cross-verify past experience |
| explainer-design-system | External (vendored) | Speedwagon | Interactive HTML course design principles for /explain |
Visual Mapping
+----------------------------------------------------------+
| agent-behavior-constraints |
| (Owner: System) |
| Consumed by: ALL AGENTS |
+----------------------------------------------------------+
|
+---------------------------------+---------------------------------+
| | |
v v v
+-----------------------+ +-----------------------+ +-----------------------+
| Riko | | Senku | | Alphonse |
| (Explorer Agent) | | (Planner Agent) | | (Verifier Agent) |
+-----------------------+ +-----------------------+ +-----------------------+
| OWNS: | | OWNS: | | OWNS: |
| - exploration-strategy| | - task-classification | | - verification-gates |
| - graphify-usage | | - prompt-refinement | | |
| - personal-kb-usage | | - team-decision | | |
| - agentsview-usage | | | | |
+-----------------------+ +-----------------------+ +-----------------------+
| CONSUMES: | | CONSUMES: | | CONSUMES: |
| - agent-behavior- | | - agent-behavior- | | - agent-behavior- |
| constraints | | constraints | | constraints |
| - task-classification | | - exploration-strategy| | |
| | | - graphify-usage | | |
| | | - personal-kb-usage | | |
| | | - agentsview-usage | | |
+-----------------------+ +-----------------------+ +-----------------------+
| | |
| | |
v v v
+-----------------------+ +-----------------------+ +-----------------------+
| Loid | | Lawliet | | Orchestrator |
| (Executor Agent) | | (Reviewer Agent) | | (Coordination) |
+-----------------------+ +-----------------------+ +-----------------------+
| OWNS: (none) | | OWNS: (none) | | OWNS: (none) |
+-----------------------+ +-----------------------+ +-----------------------+
| CONSUMES: | | CONSUMES: | | CONSUMES: |
| - agent-behavior- | | - agent-behavior- | | - task-classification |
| constraints | | constraints | | - prompt-refinement |
| - verification-gates | | - verification-gates | | - team-decision |
| - exploration-strategy| | - graphify-usage | | |
| | | - personal-kb-usage | | |
| | | - agentsview-usage | | |
+-----------------------+ +-----------------------+ +-----------------------+
+-----------------------+
| Speedwagon |
| (Authoring Agent) |
+-----------------------+
| OWNS: (none) |
+-----------------------+
| CONSUMES: |
| - agent-behavior- |
| constraints |
| - exploration-strategy|
| - explainer-design-system |
+-----------------------+
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 · +1 lines 7bf9b0050a4f
- 1mo ago First seen · 244 lines · 34 tokens per session scan A fcf9fe3d4f05
skill-agent-mapping is a skill published in the GitHub repository josix/agent-flow (8 stars, last pushed 6d ago), licensed MIT. It adds 34 tokens to every session and 2,453 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
shogun-bloom-config
An interactive wizard that creates model-routing settings from your AI subscription choices. Model routing decides which available model handles each kind of task.
shogun-model-list
A reference table of AI command-line tools, their available models, subscription requirements, and maximum Bloom capability levels. Bloom's Taxonomy is a scale describing thinking tasks, from remembering information to creating new designs.
shogun-model-switch
A live-switching tool for changing which command-line AI agent, model, and reasoning mode is running. It updates settings, restarts the agent, and refreshes the displayed session information.
shogun-screenshot
A screenshot tool for getting images from a computer or web page and then cropping, resizing, or masking sensitive information. Playwright is a browser-automation tool used here to capture web pages.
shogun-readme-sync
A skill that compares an English README with its Japanese counterpart and brings them back into alignment. A README is the project document that explains what the software is and how to use it.
shogun-agent-status
A skill that shows whether the agents in a multi-agent Japanese feudal-themed team are working, waiting, missing, or assigned tasks. It combines terminal session status, task files, and unread messages.