harness-starter

harness-starter is a skill for Claude Code from greatSumini/cc-system. It costs 76 tokens per session (1,224 once invoked), scanned A, original, MIT.

A five-stage task coordinator that guides work from clarification through context gathering, planning, implementation, and verification. It passes written files between stages and can split a plan into independent tasks that run in parallel.

In plain words
What is it for?
Use it to clarify requirements, research a codebase, create an implementation plan, delegate coding tasks, and verify the result.
Why use it?
It gives complex coding work a repeatable process and lets later runs reuse stages that already produced their files.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Good fit Use it to clarify requirements, research a codebase, create an implementation plan, delegate coding tasks, and verify the result.

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Install with agentmods
npx agentmods add skills/greatsumini/cc-system/harness-starter
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 greatSumini/cc-system --skill harness-starter
Clone the repo
git clone --depth 1 https://github.com/greatSumini/cc-system

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 harness-starter

README.md
[![agentmods](https://agentmods.dev/badge/skills/greatsumini/cc-system/harness-starter.svg)](https://agentmods.dev/skills/greatsumini/cc-system/harness-starter)
Your own site
<a href="https://agentmods.dev/skills/greatsumini/cc-system/harness-starter"><img src="https://agentmods.dev/badge/skills/greatsumini/cc-system/harness-starter.svg" alt="Measured on agentmods" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,224 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 $0.00076 $0.01224
Opus 5 $0.00038 $0.00612
Sonnet 5 $0.00015 $0.00245
Haiku 4.5 $0.00008 $0.00122

Measured 8d ago against content hash c50bd8cb6394, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

harness-starter 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 8d 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.

harness-starter/SKILL.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

$ARGUMENTS

Handle the request above through the 5-stage harness. You are the orchestrator. Do not analyze or implement code yourself — delegate each stage to a dedicated subagent, hand off via artifacts, and schedule the task graph.

First, study references/artifacts.md (artifact contracts) and references/decomposition.md (decomposition criteria). If references/conventions.md is filled in, pass its contents into every delegation prompt.

0. Setup

  • Choose a <slug> (kebab-case) to identify the task.
  • Create .harness/{specs,context,plans,reports}/ if missing.

Stage procedure (judge skip before each stage)

Each stage is skipped when its artifact already exists (reuse outputs made by external tools or humans).

1. Clarify

  • If .harness/specs/<slug>.spec.md exists → skip.
  • Otherwise delegate to the harness-clarify agent → produces spec.md.
  • If ambiguity is high, clarify may ask the user (questions are allowed in this stage only).

2. Context Gather

  • If .harness/context/<slug>.context.md exists → skip.
  • Otherwise give the spec to harness-context and delegate → produces context.md. (read-only)

3. Plan

  • If .harness/plans/<slug>.plan.md exists → skip (treat as a validated plan).
  • Otherwise give spec + context to harness-planner and delegate → produces plan.md (task graph).
  • Check the returned plan against the decomposition checklist (decomposition.md): 3–6 nodes? per-node acceptanceCriteria? are parallel nodes file/module-scoped (no conflicts)? no cycles in blockedBy? If anything is off, ask the planner to fix it (up to 2 times).
  • If human approval is desired, summarize the plan and confirm before proceeding (optional).

4. Implement — wavefront execution of the task graph

Execute plan.md nodes in parallel, wave by wave. No locks or scripts — the orchestrator schedules:

loop:
  1. ready = nodes whose blockedBy are all status=done AND whose own status=pending
  2. if ready is empty but unfinished nodes remain → deadlock (cycle/stuck). Stop and report.
  3. delegate the ready nodes in parallel within a single message:
     for each node, Task(harness-implementer, input = that node + spec + context + conventions)
     (nodes in the same wave are file/module-scoped, so there are no write conflicts — safe to parallelize)
  4. on each node completion, update its status in plan.md to done (or failed).
  5. when all nodes are done, finish.

Read the full file on GitHub · 82 lines

Files

What ships with it

10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 82 lines · 76 tokens per session scan A c50bd8cb6394

Subscribe to this mod's changes

harness-starter is a skill published in the GitHub repository greatSumini/cc-system (436 stars, last pushed 3mo ago), licensed MIT. It adds 76 tokens to every session and 1,224 once invoked, about $0.0004 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 2026-08-30.

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