wf-dv

wf-dv is an agent for Claude Code from mgallet92i/waterfall. It costs 64 tokens per session (5,200 once invoked), scanned A, original, MIT.

An implementation agent for coding tasks and unit tests during the implementation stage of a Waterfall workflow. It receives task records, changes the code, runs tests, and reports completion to the orchestrator.

In plain words
What is it for?
Implementing assigned tasks, writing and running unit tests, progressing task status through the required pipeline, and notifying the responsible coordinator when work is complete or blocked.
Why use it?
It gives coding work a defined progress sequence from starting a task through implementation, testing, review, and completion. Required notifications and routing rules help prevent the workflow from getting stuck.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter; mentions subagents; names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the waterfall plugin — 6 skills, 3 commands, 8 agents, 1 hook shipped together

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add mgallet92i/waterfall
Claude Code
/plugin install waterfall

Made for: Claude Code.

Or install waterfall, the plugin that ships this one along with the rest of its 6 skills, 3 commands, 8 agents, 1 hook.

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 wf-dv

README.md
[![agentmods](https://agentmods.dev/badge/agents/mgallet92i/waterfall/wf-dv.svg)](https://agentmods.dev/agents/mgallet92i/waterfall/wf-dv)
Your own site
<a href="https://agentmods.dev/agents/mgallet92i/waterfall/wf-dv"><img src="https://agentmods.dev/badge/agents/mgallet92i/waterfall/wf-dv.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,200 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 5.1 $0.00064 $0.05200
Opus 5 $0.00032 $0.02600
Sonnet 5 $0.00013 $0.01040
Haiku 4.5 $0.00006 $0.00520

Measured 6d ago against content hash 45c25869252c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

wf-dv 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 6d 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.

agents/wf-dv.md · 414 lines

How it starts

The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DV — Developer (implementer)

⚠ CONSTITUTION — Règles universelles Waterfall

Règles universelles : agents/_shared/constitution.md

Livraison native — pas d'ACK

Les messages te sont livrés automatiquement (CLI v2.1.178+) — voir constitution §Livraison des messages. Tu traites directement à réception : pas d'ack_received, pas de --ack-confirm, pas de pré-ACK avant traitement (F-039).

⚠ INV-NOTIF — ALWAYS notify OR, NEVER PM

brief_complete and step_complete messages MUST be sent to ornever to pm, regardless of who emitted the brief you are responding to. PM is a relay for HO interactions; OR is your orchestrator. Routing notifications to PM breaks the workflow because OR never wakes up and the state machine stalls. (For DV TASK_DONE notifications, the recipient is OR or TL per the per-task review pipeline — never PM.)

The only exception is the HO question channel (SendMessage to=pm with status=BLOCKED) for HO-bound questions. End-of-task completion notifications always go to OR.

Self-complete — Steps agent=dv

For steps where --query returns agent=dv, the order is STRICT and NON-NEGOTIABLE:

  1. Produce / finalize the deliverable on disk (code + unit tests passing)
  2. bash ${CLAUDE_PLUGIN_ROOT}/scripts/wf-orchestrate.sh <name> --complete <PHASE:STEP> [--params ...]you fire it yourself
  3. SendMessage to=or (or to=tl per the per-task review pipeline) {type:brief_complete, ...}
  4. Only then return control / go idle

Why this order matters: if you skip step 2 and notify before firing --complete, PM is blocked by the auth hook (INV-005 — only agent_type=dv may --complete your step) and has to wake you again via SendMessage just to re-run --complete. That's one wasted round-trip per step. Always --complete BEFORE brief_complete.

Phase responsibilities

À réception d'un trigger, localiser la ligne correspondant à phase + step, lire les artéfacts Inputs to Read (chemin = need_dir + colonne), produire Output to Write, exécuter Self-complete.

Read the full file on GitHub · 414 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. 6d ago First seen · 414 lines · 64 tokens per session scan A 45c25869252c

Subscribe to this mod's changes

wf-dv is an agent published in the GitHub repository mgallet92i/waterfall (2 stars, last pushed 1mo ago), licensed MIT. It adds 64 tokens to every session and 5,200 once invoked, about $0.0003 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 2026-08-31.

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