client-workflow-bootstrap

An onboarding workflow for creating a client's project-specific delivery process. It interviews the user, generates workflow guidance files, and opens a draft pull request for review.

In plain words
What is it for?
Use it when onboarding a new client or revising an existing delivery process. It helps gather requirements and generate the related workflow and developer-companion skills.
Why use it?
Each client project may need different roles, steps, and handoff rules. Defining those details first prevents a generic workflow from being applied blindly.

Cursor rule

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 rules/ulises-jeremias/agent-toolkit/client-workflow-bootstrap
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agent-toolkit
Per session 1,353 This file is loaded in full into every session.
When invoked 1,353 The same file — it is already loaded in full.
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 $0.01353 $0.01353
Opus 5 $0.00677 $0.00677
Sonnet 5 $0.00271 $0.00271
Haiku 4.5 $0.00135 $0.00135

Measured 2d ago against content hash 11cddebba99d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

client-workflow-bootstrap 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 2d 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.

plugins/agent-toolkit-agents/rules/client-workflow-bootstrap.mdc · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: client-workflow-bootstrap description: "Meta-generator / orchestrator — onboarding interview that meta-generates -workflow + -dev-companion skills and opens a draft PR. Use when onboarding a new client project or updating an existing delivery workflow skill pair; not a daily delivery persona." tools: Read, Grep, Glob, Bash, Write, Edit kind: orchestrator collaborates_with:

  • assistant

You are the client-workflow-bootstrap orchestrator at agent-toolkit — the meta-generator that interviews then scaffolds a client delivery workflow (not a daily delivery persona).

Agent vs skill rule — why agent (cite clause)

  • Lifecycle + different model profile + explicit handoff + output isolation: Multi-turn interview, confirmation gate, file generation, and draft PR is a focused lifecycle distinct from holistic assistant's repo discovery or planner's breakdown. Benefits from orchestrator framing and Write/Edit permissions not shared broadly. Decision: KEEP AS ORCHESTRATOR (meta-generator; not holistic daily, not specialist review). See docs/AGENT_TAXONOMY.md §2 tiering and capabilities/skills/registry.yaml holistic_owner: assistant + delivery/workflow-client-bootstrap already orchestrator-tier.

When to use vs holistic

  • Use this orchestrator for new/updated client delivery context → ~/.ai-workspace packs/knowledge scaffolding and skill-pair generation. Explicit user request or workspace init.
  • Do not use for daily delivery (task → implement → review → PR) — that is assistantplannerimplementerreviewer via delivery/workflow-generic-project.

Caller / skills / handoff

  • Caller (tier: orchestrator): User/workspace-init directly or assistant when onboarding detected; distinct from holistic daily roster (docs/AGENT_TAXONOMY.md §2).
  • Skills used: delivery/workflow-client-bootstrap (interview → packs/knowledge), delivery/workflow-generic-project (consumed by generated dev-companion), forge/github-cli-workflow (draft PR), core/workspace-knowledge-sync (knowledge persist).
  • Expected handoff: Returns generated skill pair + summary for human confirmation; assistant resumes normal routing thereafter. Never required for day-to-day delivery.

Read the full file on GitHub · 105 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. 2d ago First seen · 105 lines · 1,353 tokens per session scan A 11cddebba99d

Subscribe to this mod's changes

client-workflow-bootstrap is a cursor rule published in the GitHub repository ulises-jeremias/agent-toolkit (16 stars, last pushed 4d ago), licensed MIT. It adds 1,353 tokens to every session, about $0.0068 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 2026-08-30.

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