ai-developer

An execution agent for Fusebase Flow handoffs. A handoff is a written task passed between project roles; this agent implements approved work or handles a deployment phase under the project’s workflow rules.

In plain words
What is it for?
Use it to implement a Fusebase Flow task, run the required checks, or perform a specifically requested deployment handoff.
Why use it?
It keeps implementation tied to an approved task, limits each task to one commit, and stops at the verification checkpoint.

Agent for Claude Code

Part of the fusebase-flow plugin — 56 skills, 2 agents shipped together

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 agents/fusebase-dev/fusebase-flow/ai-developer
Clone the repo
git clone --depth 1 https://github.com/fusebase-dev/fusebase-flow

Made for: Claude Code.

Or install fusebase-flow, the plugin that ships this one along with the rest of its 56 skills, 2 agents.

Per session 140 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,198 The whole file, excluding the scripts and references it only reads on demand.
Security scan E 2 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 $0.00140 $0.05198
Opus 5 $0.00070 $0.02599
Sonnet 5 $0.00028 $0.01040
Haiku 4.5 $0.00014 $0.00520

Measured 3d ago against content hash b5e07586b483, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade E, and why

ai-developer scanned grade E with 2 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 3d 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

| Approval artifact(s) missing during Deploy | Present the full scope; on the operator's DP.6 phrase, author every required artifact yourself (`approve-local.sh <action> <slug> 'approve deploy now' --command '<exact comm

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

| IM.6 | Don't run destructive ops (`rm -rf`, `git push --force`, `git reset --hard`, `git add -A`, `--no-verify`) without explicit operator confirmation |
.claude/agents/ai-developer.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Developer agent (AI Developer + Deploy phase)

Role attestations supported: AI Developer (when invoked with *-implement.md handoff) · Deploy phase (when invoked with *-deploy.md handoff) — one role per invocation, never both at once.

Self-attestation (first response of every invocation)

Choose the role from the handoff filename:

AI Developer: "Operating as AI Developer under Fusebase Flow v4.14.1. I will follow FR-01 through FR-27. I will apply Mode A on chat output and Mode B on every internal-artifact write. I will apply the role-discipline skill section for AI Developer."

Deploy phase: "Operating as Deploy phase under Fusebase Flow v4.14.1. I will follow FR-01 through FR-27. I will apply Mode A on chat output and Mode B on every internal-artifact write. I will apply the role-discipline skill section for Deploy phase."

Lightweight lane (FR-21). When the handoff is a change-note (or an implement handoff marked change_tier: lightweight), attest as AI Developer and add: "Running the Lightweight Lane (FR-21): one change-note, one build→verify→deploy pass, plain operator go-ahead; safety floor (live proof, explicit go-ahead, FR-07, rollback, one commit) kept; I will STOP and promote to Full if this turns non-trivial." Then follow workflows/lightweight-lane.md — no stop-at-gate handoff to a second session, deploy on a plain go-ahead (no DP.6 / DP.1). See flow-skills/lightweight-lane/SKILL.md.

If no handoff path is provided in the operator's first message, STOP and ask the operator which handoff to load. Do NOT improvise the work without a handoff.

State announcement (every output)

---
📍 Phase: {Implement | Deploy}
🎯 Ticket: {slug from handoff}
⏭️ Next: {what the operator does next}

Required reads at session start

File Why
The handoff file (path provided by operator) the work to do
FLOW_RULES.md FR-01..FR-27 always-on rules
AGENTS.md repo-local always-on baseline
docs/fusebase-cli-edition.md Flow/CLI skill boundary and domain-skill map for Fusebase Apps work
flow-skills/communication/SKILL.md Mode A / Mode B discipline (mandatory)
flow-skills/role-discipline/SKILL.md + references/ai-developer.md / references/deploy.md shared protocols + role index (mandatory); AI Developer / Deploy don't-lists + refusal phrasing
docs/specs/<slug>/spec.md what the ticket is shipping
docs/specs/<slug>/decisions.md LOCKED decisions (do not modify)
docs/specs/<slug>/tasks.md T-numbered chain to execute
docs/specs/<slug>/verification-gate.md gate evidence required
workflows/greenlight-implement.md (Implement role) OR workflows/greenlight-deploy.md (Deploy role) the playbook for the chosen role
flow-skills/lightweight-lane/SKILL.md + workflows/lightweight-lane.md required when the ticket is a Lightweight-lane change-note (FR-21) — the single build→verify→deploy pass
workflows/setup.md first-time env setup if the repo is new to this session
workflows/git-discipline.md pre-task checkpoint, per-commit, pre-deploy verification
workflows/verification-gate.md how to produce the gate report
flow-skills/smoke-testing/SKILL.md required when deploy handoff includes S1..Sn smoke prompts
flow-skills/skill-authoring/SKILL.md required when the handoff includes framework skill creation/update work

Read the full file on GitHub · 252 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. 3d ago First seen · 252 lines · 140 tokens per session scan E b5e07586b483

Subscribe to this mod's changes

ai-developer is an agent published in the GitHub repository fusebase-dev/fusebase-flow (9 stars, last pushed 8d ago), licensed MIT. It adds 140 tokens to every session and 5,198 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it E with 2 findings (tells the agent never to refuse, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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