help-flow

help-flow is a skill for Claude Code, Codex from griddynamics/rosetta. It costs 13 tokens per session (1,921 once invoked), scanned A, original, Apache-2.0.

A guided process for documenting a private software library so an AI agent can understand how to use it without direct access to its source code.

In plain words
What is it for?
Use it to prepare an external library for AI-assisted development and update the project's architecture notes.
Why use it?
It gives the agent packaged reference material instead of requiring access to the original codebase.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/griddynamics/rosetta/help-flow
Any agent
npx skills add griddynamics/rosetta --skill help-flow
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for help-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/griddynamics/rosetta/help-flow.svg)](https://agentmods.dev/skills/griddynamics/rosetta/help-flow)
Your own site
<a href="https://agentmods.dev/skills/griddynamics/rosetta/help-flow"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/help-flow.svg" alt="Measured on agentmods" height="20"></a>
Per session 13 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,921 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00013 $0.01921
Opus 5 $0.00006 $0.00960
Sonnet 5 $0.00003 $0.00384
Haiku 4.5 $0.00001 $0.00192

Measured yesterday against content hash 16fa26ef1c8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

help-flow 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/core-antigravity-light/skills/help-flow/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<help_flow>

<description_and_purpose>

Audience: developers and orchestrators exploring Rosetta-powered workspaces. Use when: "what can you do", "how do I use X", "how to develop with Rosetta", "what workflows are available", or any capability discovery question. Provides: guides user on how to use Rosetta and its capabilities; live overview of available skills, workflows, and agents; detailed guidance on matched capabilities; seamless handoff to any discovered workflow within the same session; Consider user sees this first time, you must explain, be clear, specific, non-ambiguous, user should just be able to follow it.

</description_and_purpose>

<invocation_guidance>

When presenting capabilities to users, always show concrete slash command examples following this pattern: /[command-name] [request in natural language]

QUICKSTART REFERENCE PATTERN — use this exact style for all examples shown to users:

/coding-flow Implement side bar on the home page, ...
/coding-flow Identify and implement fix, ...
/coding-flow Improve unit tests coverage to 85% for ...
/requirements-authoring-flow Extract detailed business and technical requirements from ... using subagents.
/modernization-flow Perform modernization phase 1 to reuse library refsrc/... using subagents.
/research-flow Investigate OAuth 2.0 implementation options for our stack
/ui-aqa-flow Create UI test automation for the checkout flow
/api-aqa-flow Automate backend API tests for TC-1234 with Swagger: https://api.example.com/swagger.json

HOW WORKFLOWS EXECUTE: Workflows are multi-phase pipelines. The AI guides the user through each phase automatically — HITL gates pause for user review and approval at critical decisions. Users invoke the workflow once with a slash command and follow AI guidance; they do not manage phases manually.

DIRECT SKILL INVOCATION (also supported): Skills can be invoked directly. Slash command = folder name of the skill. Naming rule: skills/[folder-name]/SKILL.md/[folder-name] [request]

WHAT MAKES A VALID DIRECT SKILL EXAMPLE — a valid request must have all three:

  1. Specific artifact or target (not "this error" or "the tests" — name the file, log, or exact thing)
  2. Explicit method or action (not "investigate" alone — state what to produce and how)
  3. Explicit scope constraint (state what NOT to do, or what the boundary is)

WORKFLOWS ARE SELF-CONTAINED — they invoke skills internally: coding-flow handles all coding tasks and invokes debugging, testing, and other skills itself as needed. Similarly, every other workflow invokes its own skills internally. Users should never manually invoke /debugging, /testing, /coding, or similar skills for work that belongs inside a workflow — the workflow handles that automatically.

BAD examples (do NOT show these — they are wrong):

  • /coding Debug this error in auth.py/coding is an IMPLEMENTATION skill invoked internally by coding-flow, not a standalone tool; and coding-flow invokes /debugging itself when needed
  • /debugging Investigate why payment tests fail — too vague: no specific artifact, no expected output, no constraint; and if a fix is needed afterward, this belongs in coding-flow entirely
  • /research Compare event sourcing vs CRUD for our order service — this IS what /research-flow is for; using the skill directly bypasses the structured research workflow; PRIORITY RULE applies

GOOD examples:

  • /natural-writing Rewrite the executive summary in docs/CONTEXT.md — remove AI clichés, max 4 sentences, audience is a new engineer joining the project
  • /debugging Read the stack trace in agents/TEMP/error.log — identify root cause only, do NOT propose fixes, report findings

DIRECT SUBAGENT INVOCATION (also supported): Subagents can be invoked directly. Slash command = file name without .md. Naming rule: agents/[name].md/[name] [request]

Same rule applies — each example must specify the artifact, method, and constraints. Vague requests like "Design the auth module" or "Implement the payment service" require a full workflow, not direct subagent invocation.

Read the full file on GitHub · 145 lines

Changes

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.

  1. yesterday First seen · 145 lines · 13 tokens per session scan A 16fa26ef1c8c

Subscribe to this mod's changes

help-flow is a skill published in the GitHub repository griddynamics/rosetta (342 stars, last pushed yesterday), licensed Apache-2.0. It adds 13 tokens to every session and 1,921 once invoked, about $0.0001 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 2026-09-03.