xmake-harness

xmake-harness is a skill for Claude Code from xmake-io/xmake-skills. It costs 80 tokens per session (755 once invoked), scanned A, original, Apache-2.0.

Instructions for xmake-harness, an add-on that provides xmake ai, a terminal coding agent designed to work inside an Xmake project. It covers provider setup, sessions, permissions, non-interactive use and environment checks.

In plain words
What is it for?
Use it to set up an AI provider, start or continue coding-agent sessions, ask for project changes, run the agent in scripts or CI, and check its configuration and environment.
Why use it?
It explains how to configure and run the agent instead of leaving provider settings, API keys and session controls unclear. Non-interactive mode also supports scripts and continuous-integration jobs.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; mentions Claude Code.

Part of the xmake-skills plugin — 58 skills shipped together

Good fit Use it to set up an AI provider, start or continue coding-agent sessions, ask for project changes, run the agent in scripts or CI, and check its configuration and environment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xmake-io/xmake-skills/xmake-harness
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 xmake-io/xmake-skills --skill xmake-harness
Clone the repo
git clone --depth 1 https://github.com/xmake-io/xmake-skills

Made for: Claude Code.

Or install xmake-skills, the plugin that ships this one along with the rest of its 58 skills.

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 xmake-harness

README.md
[![agentmods](https://agentmods.dev/badge/skills/xmake-io/xmake-skills/xmake-harness/github.svg)](https://agentmods.dev/skills/xmake-io/xmake-skills/xmake-harness)
Your own site
<a href="https://agentmods.dev/skills/xmake-io/xmake-skills/xmake-harness"><img src="https://agentmods.dev/badge/skills/xmake-io/xmake-skills/xmake-harness/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 xmake-harness

Your own site · 80×15
<a href="https://agentmods.dev/skills/xmake-io/xmake-skills/xmake-harness"><img src="https://agentmods.dev/badge/skills/xmake-io/xmake-skills/xmake-harness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 755 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 warn 7 Sept 2026
SkillSpector: 1 finding, 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 Excessive Agency · line 30
    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.
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 $0.00080 $0.00755
Opus 5 $0.00040 $0.00378
Sonnet 5 $0.00016 $0.00151
Haiku 4.5 $0.00008 $0.00076

Measured 11d ago against content hash 26f504cdb613, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

xmake-harness 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 11d 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.

skills/ai/xmake-harness/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

xmake-harness (xmake ai)

xmake-harness is an agent harness written in xmake lua. As an addon it exposes xmake ai, a claude-code style terminal agent that knows how to build the project it is sitting in.

Install

xmake addon --install xmake-harness
xmake ai --setup                     # interactive wizard: provider, api key, model

Or from the source:

xmake addon --install github:xmake-addons/xmake-harness

Configure a provider

xmake ai --config=providers.deepseek.apikey=sk-xxxxxx
xmake ai --apikey=sk-xxxxxx                 # api key of the current provider
xmake ai --provider=deepseek --model=deepseek-chat
xmake ai --smallmodel=deepseek-chat         # used by the title/summary/light subagents
xmake ai --showconfig                       # the resolved configuration
xmake ai --doctor                           # check the environment

Run it

xmake ai                                    # interactive tui
xmake ai "add a unit test for foo"          # start with a prompt
xmake ai -c                                 # continue the last session of this directory
xmake ai -c "and now add the tests"
xmake ai -r                                 # pick a session to resume
xmake ai -r 6a86cfc5-bbda-14ce
xmake ai --new                              # force a new session

Non-interactive

For scripts, hooks and CI — it prints the result and exits:

xmake ai --print "what does this build produce?"
xmake ai --command=doctor                   # run one slash command and exit
xmake ai --command='model deepseek-reasoner'

Permissions and sandbox

xmake ai --mode=plan          # read-only, it plans before touching anything
xmake ai --mode=acceptedits   # auto-accept file edits, still asks for commands
xmake ai --mode=bypass        # no prompts (use with care)
xmake ai --sandbox            # confine the commands it runs
xmake ai --notools            # chat only, no tools at all

Read the full file on GitHub · 85 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. 11d ago First seen · 85 lines · 80 tokens per session scan A 26f504cdb613

Subscribe to this mod's changes

xmake-harness is a skill published in the GitHub repository xmake-io/xmake-skills (24 stars, last pushed 18d ago), licensed Apache-2.0. It adds 80 tokens to every session and 755 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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