coding-agents-farm

coding-agents-farm is a skill for Claude Code from griddynamics/rosetta. It costs 32 tokens per session (2,549 once invoked), scanned B, original, Apache-2.0.

A guide for coordinating several coding agents in separate Git worktrees, which are isolated copies of a project.

In plain words
What is it for?
Use it for independent implementation tasks, cross-checking results with different agents, or handling larger jobs in parallel.
Why use it?
It helps split suitable work across agents while keeping their changes separate for review and testing.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Good fit Use it for independent implementation tasks, cross-checking results with different agents, or handling larger jobs in parallel.

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Install with agentmods
npx agentmods add skills/griddynamics/rosetta/coding-agents-farm
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.

Any agent
npx skills add griddynamics/rosetta --skill coding-agents-farm
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta

Made for: Claude Code.

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 coding-agents-farm

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for coding-agents-farm

Your own site · 80×15
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Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,549 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 11 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Agent Snooping · line 55
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
  • high Excessive Agency · line 116
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • high Excessive Agency · line 121
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • high Excessive Agency · line 131
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium Excessive Agency · line 8
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium Excessive Agency · line 48
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 55
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 57
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 59
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 139
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 146
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00032 $0.02549
Opus 5.5 $0.00013 $0.01020
Sonnet 5.5 $0.00006 $0.00510
Haiku 4.5 $0.00003 $0.00255

Measured 1mo ago against content hash ee6b744fef54, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

coding-agents-farm scanned grade B with 1 finding 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 1mo 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

| `gemini` | `--yolo` (= `-y`) | Env: `GEMINI_YOLO_MODE=true`; Config: `"yolo": true` in `~/.gemini/settings.json`; also `--approval-mode auto_edit` for file-only auto-approve |
instructions/r2/core/skills/coding-agents-farm/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<coding_agents_farm>

<when_to_use_skill> Use when a task benefits from parallel execution across multiple coding agents — large features decomposable into independent subtasks, cross-validation by different models/providers, or throughput-critical work. Solves: single-agent bottlenecks, premature completion without testing, agent deviation, token/rate-limit failures going unnoticed. </when_to_use_skill>

<core_concepts>

MUST EXPLICITLY CONFIRM WITH USER HE WANTS TO DO THAT: IT IS DANGEROUS, IT CAN EAT MONEY VERY QUICK. USER MUST TYPE EXACTLY Yes, I take responsibility, IF NOT PROVIDED EXACTLY - ASK AGAIN. AFTER 3 FAILED ATTEMPTS: STOP, NO REPLY, REQUEST USER TO START A NEW SESSION. NO OVERRIDE ALLOWED.

Provider-model constraints (enforced, not optional):

CLI Provider Headless cmd Model flag
claude Anthropic only claude -p "PROMPT" --model MODEL
codex OpenAI only codex exec "PROMPT" -m MODEL
copilot GitHub-hosted (multi) copilot -p "PROMPT" --model MODEL
gemini Google only gemini -p "PROMPT" -m MODEL
opencode Multi-provider opencode run "PROMPT" -m provider/model
goose Multi-provider (config) goose run --text "PROMPT" Config-based

Auto-approve flags (use ALL applicable flags, not just one):

CLI CLI flags Env vars / Config (set before launch)
claude --dangerously-skip-permissions (= --permission-mode bypassPermissions) Settings: "defaultMode": "bypassPermissions" in .claude/settings.json; also "permissions": {"allow": ["Bash","Edit","Write","Read","WebFetch","mcp__*"]}
codex --yolo (= --dangerously-bypass-approvals-and-sandbox, = -a never --sandbox danger-full-access) Env: CODEX_UNSAFE_ALLOW_NO_SANDBOX=1
copilot --yolo (= --allow-all) N/A; known issue: may still prompt in some edge cases
gemini --yolo (= -y) Env: GEMINI_YOLO_MODE=true; Config: "yolo": true in ~/.gemini/settings.json; also --approval-mode auto_edit for file-only auto-approve
opencode --yolo (= --dangerously-skip-permissions) Env: OPENCODE_YOLO=true; Config: "yolo": true in opencode.json; granular: "permission": {"*": {"*": "allow"}}
goose None (config-only) Config: auto-approve in ~/.config/goose/profiles.yaml

Known auto-approve issues:

  • Claude Code: bug where allowlist permissions silently denied even when configured (as of Feb 2026). Use bypassPermissions mode, not allowlists.
  • Codex: --yolo suppresses trust prompt but .codex/skills may still gate on per-project trust. Fixed in v0.88+.
  • Copilot: --yolo may still prompt for some operations in edge cases. No full workaround.
  • Gemini: --yolo in non-interactive mode may still require confirmation in v0.28+ (known regression). Set env var as belt-and-suspenders.

YOUR INTERNAL KNOWLEDGE ABOUT MODEL NAMES, CLI FLAGS, AND TOOL VERSIONS IS STALE. Use ONLY the names and flags listed in this skill. Do NOT substitute from memory. If unsure about a model name, omit the model flag and let the CLI use its default.

Model selection guidance:

  • Anthropic: claude-sonnet-5 (workhorse), claude-opus-4-8 (complex), claude-haiku-4-5 (fast)
  • OpenAI: gpt-5.4 (workhorse), gpt-5.5-high (complex)
  • Google: gemini-3.1-pro-preview (workhorse), gemini-3-flash-preview (fast)
  • Copilot: select via --model; supports claude, gpt, gemini families through GitHub
  • OpenCode: prefix with provider, e.g. anthropic/claude-sonnet-5, openai/gpt-5.4
  • Goose: set in ~/.config/goose/profiles.yaml

OpenCode: prefix with provider, e.g. anthropic/claude-sonnet-5, openai/gpt-5.4-medium. Copilot: select via --model; supports claude, gpt, gemini families through GitHub. Goose: set in ~/.config/goose/profiles.yaml.

Read the full file on GitHub · 197 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. 1mo ago First seen · 197 lines · 32 tokens per session scan B ee6b744fef54

Subscribe to this mod's changes

coding-agents-farm is a skill published in the GitHub repository griddynamics/rosetta (360 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 2,549 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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