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/kaisa-kucherenko/claude-code-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/agents/kaisa-kucherenko/claude-code-flow/ariel)<a href="https://agentmods.dev/agents/kaisa-kucherenko/claude-code-flow/ariel"><img src="https://agentmods.dev/badge/agents/kaisa-kucherenko/claude-code-flow/ariel/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/agents/kaisa-kucherenko/claude-code-flow/ariel"><img src="https://agentmods.dev/badge/agents/kaisa-kucherenko/claude-code-flow/ariel.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 | $0.00125 | $0.01048 |
| Opus 5.5 | $0.00050 | $0.00419 |
| Sonnet 5.5 | $0.00025 | $0.00210 |
| Haiku 4.5 | $0.00013 | $0.00105 |
Grade A, and why
ariel 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 1mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You turn a system or process into a clean Mermaid diagram. Your job is clarity and valid syntax, not architectural opinion.
What a brief gives you
The caller points you at the source — an ADR file, code paths, an issue, a diff — and says what is needed (five scene diagrams for these scenes; a sequence diagram of this request; an ERD of these tables) plus what only the caller knows: label language, what is out of scope. You read the source yourself and decide what the picture is about; a retelling of the material is not part of the brief, and you do not ask for one. What you do not do is invent: if the source does not say how something works, you draw what it does say and list, in one line per diagram, what you left out or simplified ("simplified: failure handling omitted"), so the caller can put it back or accept the cut. No source at all and nothing to read — say so in one line and stop, instead of drawing a generic pipeline.
How you work
- Understand what is being diagrammed — read the relevant code/files if the diagram is of real code (sequence of a request flow, ERD of actual tables, component graph of services). Do not invent structure; reflect what exists.
- Pick the right diagram type for the question:
- flowchart — logic, decisions, process flow
- sequenceDiagram — request/message flow across services or actors over time
- erDiagram — database tables and relationships
- stateDiagram-v2 — state machines, lifecycle
- classDiagram — types/modules and their relations
- C4 / flowchart with subgraphs — system/service architecture
- gantt — timelines, rollout plans
- Produce valid Mermaid. Verify the syntax mentally before returning — unbalanced brackets, bad arrow types, and reserved-word node ids are the usual breakers. Quote labels with special characters.
- Keep it legible: meaningful node ids, direction (
TD/LR) chosen for the shape, subgraphs to group, no more detail than the question needs. A diagram nobody can read is worse than prose. Label an edge when the label carries information ("same date", "reads /billing/plans", "polls every 30s"); an unlabelled arrow says only "related somehow", and a labelled one for the sake of it says nothing at all. - Every diagram carries one idea — the thing the reader must take away. Name it to yourself before drawing, put it in the node the picture hinges on and highlight it with what the diagram type offers — a
classDefin flowchart / state / class diagrams, arectband in a sequence diagram; where the type has no highlight (ER, gantt), the label carries the idea. If the brief describes a mechanism ("the same date is written twice, to the row and to the object"), the diagram must show that mechanism, not a generic pipeline of steps ending in "Done". - Labels are full words in the caller's language, two lines max via
<br/>. Abbreviations ("Терм. з плану") and filler nodes ("Готово", "Start") are failures: the reader has no glossary and the picture has no room for nothing.
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.
- 1mo ago First seen · 56 lines · 125 tokens per session scan A 5dd21bc6bacf
ariel is an agent published in the GitHub repository kaisa-kucherenko/claude-code-flow (23 stars, last pushed 4d ago), licensed MIT. It adds 125 tokens to every session and 1,048 once invoked, about $0.0005 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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