using-gc

using-gc is a skill for Claude Code from boshu2/agentops. It costs 56 tokens per session (2,414 once invoked), scanned A, original, Apache-2.0.

A guide for operating Gas City 1.4 as a software factory that coordinates coding agents and workflow skills.

In plain words
What is it for?
Use it when explicitly dispatching work through Gas City and when coordinating planning, implementation, testing, and validation workers.
Why use it?
It keeps the factory's own completion signals separate from proof that the resulting code is correct, delivered, or validated.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Codex.

Good fit Use it when explicitly dispatching work through Gas City and when coordinating planning, implementation, testing, and validation workers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/boshu2/agentops/using-gc
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 boshu2/agentops --skill using-gc
Clone the repo
git clone --depth 1 https://github.com/boshu2/agentops

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 using-gc

README.md
[![agentmods](https://agentmods.dev/badge/skills/boshu2/agentops/using-gc/github.svg)](https://agentmods.dev/skills/boshu2/agentops/using-gc)
Your own site
<a href="https://agentmods.dev/skills/boshu2/agentops/using-gc"><img src="https://agentmods.dev/badge/skills/boshu2/agentops/using-gc/github.svg" alt="Measured on agentmods" height="20"></a>

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 using-gc

Your own site · 80×15
<a href="https://agentmods.dev/skills/boshu2/agentops/using-gc"><img src="https://agentmods.dev/badge/skills/boshu2/agentops/using-gc.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,414 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00056 $0.02414
Opus 5.5 $0.00022 $0.00966
Sonnet 5.5 $0.00011 $0.00483
Haiku 4.5 $0.00006 $0.00241

Measured 25d ago against content hash 0b3242f2f248, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

using-gc 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 25d 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.

packs/agentops-executor/skills/using-gc/SKILL.md · 246 lines

How it starts

The opening of the file, as written. The whole thing — 246 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using GC

Use Gas City only when the caller explicitly selects it. Treat it as a replaceable execution adapter, not a correctness or completion boundary.

Choose the factory first

AgentOps supports both Gas City and the Agentic Coding Flywheel as external software-factory runtimes. Use this skill only for Gas City. If the caller selects the Flywheel, use its native workflow instead of wrapping it in Gas City.

AgentOps supplies skills and evidence contracts to either factory. It does not need its own Gas City formula or role pack. Install or link AgentOps skills into the provider runtime before starting workers; the upstream Mayor, coordinator, and workers can then discover and select plan, implement, test, validate, and other AgentOps skills normally.

Gas City 1.4 operating model

Gas City 1.4 is run-centered. The supervisor serves the dashboard and typed, paginated session/run APIs. Every graph-owning city or rig scope needs its own core.control-dispatcher; that deterministic worker advances formula control beads. Agent workers claim routed work. The upstream gc.mayor skill is the guided coordinator; gc.run-operator launches and supervises formulas.

The normal AgentOps path is:

  1. Install and pin the upstream gascity workflow and rig-role imports.
  2. Add the project as a rig, prepare its stock maintainer runtime, and make AgentOps skills visible to its provider sessions.
  3. Create a caller-owned bead and launch the upstream build-basic, continuation, review, or implementation formula that matches the available artifacts.
  4. Read run, session, bead, artifact, and verdict state. Completion is never inferred from chat or pane prose.

Prepare and qualify a rig before its first build with the shipped AgentOps CLI (no repo checkout required):

ao gc prepare --city /path/to/city --rig /path/to/rig
ao gc check --city /path/to/city --rig /path/to/rig

The command verifies the exact official workflow and role pins, snapshots the upstream validation scripts and schemas unchanged inside the rig's .gc runtime, installs only small AgentOps-owned wrappers at the formula check paths, selects an existing Python that can import PyYAML, and links the AgentOps skills into the city and rig Codex sinks. Skills come from the enclosing AgentOps checkout when one is present, otherwise from the installed skills root; pass --skills-source to pin a different directory. It never modifies the GC binary, cache, formulas, roles, or upstream pack. check issues only native inspection commands, writes no adapter files, and fails before model spend when that runtime contract is missing or drifted.

Read the full file on GitHub · 246 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. 25d ago Changed · -114 lines · +20 tokens per session 0b3242f2f248
  2. 1mo ago Changed · -20 tokens per session 00e7e11e287f
  3. 1mo ago First seen · 360 lines · 56 tokens per session scan A e3686cd6bf0d

Subscribe to this mod's changes

using-gc is a skill published in the GitHub repository boshu2/agentops (450 stars, last pushed today), licensed Apache-2.0. It adds 56 tokens to every session and 2,414 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.

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