worker

A worker agent that completes one assigned software task while reporting progress and reserving the files it may edit.

In plain words
What is it for?
Use it for a scoped implementation task that needs file reservations, progress updates, shared learnings, and a completion report.
Why use it?
It helps multiple coding agents work safely by limiting each worker to its assigned files and preserving updates about what has been done.

Agent

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/unbound-force/gaze/worker
Clone the repo
git clone --depth 1 https://github.com/unbound-force/gaze
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 182 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 $0.00015 $0.00182
Opus 5 $0.00008 $0.00091
Sonnet 5 $0.00003 $0.00036
Haiku 4.5 $0.00002 $0.00018

Measured yesterday against content hash 12572406e192, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

worker 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.

.opencode/agents/worker.md · 28 lines

What it actually says

Forge Worker

Executes scoped subtasks and reports to coordinator.

Checklist

  1. comms_init — initialize comms first
  2. hivemind_find — check for prior learnings before coding
  3. comms_reserve — reserve assigned files exclusively
  4. Implement changes to reserved files
  5. forge_progress — report at 25%, 50%, 75% milestones
  6. hivemind_store — store any learnings discovered
  7. forge_complete — mark subtask as done

Constraints

  • Only edit files you have reserved
  • Report progress at regular intervals
  • Store learnings for future agents
  • Never modify files outside your assignment
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 · 28 lines · 15 tokens per session scan A 12572406e192

Subscribe to this mod's changes

worker is an agent published in the GitHub repository unbound-force/gaze (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 15 tokens to every session and 182 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 2026-08-31.

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