harness-port-guide

harness-port-guide is a skill for Claude Code, Codex from OutlineDriven/odin-claude-plugin. It costs 40 tokens per session (1,967 once invoked), scanned A, original, Apache-2.0.

A porting guide for making a skills framework work inside a new IDE, command-line tool, or other agent environment. It adds the environment's startup, tool-mapping, fallback, test, and installation files.

In plain words
What is it for?
It is for adapting a skills system to a new agent harness and verifying automatic startup, skill invocation, tool mapping, and installation.
Why use it?
It addresses the gap between skills that exist and a harness that cannot load or invoke them correctly. The acceptance transcript and tests show whether the port works in that environment.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: mentions subagents.

Part of the odin-agent plugin — 46 skills shipped together

Good fit It is for adapting a skills system to a new agent harness and verifying automatic startup, skill invocation, tool mapping, and installation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/odin-claude-plugin/harness-port-guide
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 OutlineDriven/odin-claude-plugin --skill harness-port-guide
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-claude-plugin

Made for: Claude Code, Codex.

Or install odin-agent, the plugin that ships this one along with the rest of its 46 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 harness-port-guide

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/harness-port-guide/github.svg)](https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/harness-port-guide)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/harness-port-guide"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/harness-port-guide/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 harness-port-guide

Your own site · 80×15
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/harness-port-guide"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/harness-port-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,967 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 $0.00040 $0.01967
Opus 5 $0.00020 $0.00983
Sonnet 5 $0.00008 $0.00393
Haiku 4.5 $0.00004 $0.00197

Measured 4d ago against content hash d294baa0456b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

harness-port-guide 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 4d 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.

plugins/odin-agent/skills/harness-port-guide/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Harness port guide

Contract

Field Bound contract
Trigger User asks to make the skills framework work in a new harness, IDE, or CLI.
Authority Reversible local: writes only named harness artifacts (manifest, bootstrap injector, tool-mapping reference, tests, install docs) and edits to other harnesses' sync-exclude files; rollback is deleting those added files and restoring the prior content of any edited sync-exclude files. No credential, paid, published, deployed, remote, or VCS-history mutation. Never edit the user's global or personal config, and never edit a skill body to fit the harness.
Side effect Adds a manifest, a bootstrap injector, a tool-mapping reference and tests for the target harness; the version is tracked in the source manifest.
Done All six done-conditions hold: session-start bootstrap with no per-session opt-in, a tool mapping exists, skills are invocable natively or via a read-the-skill-file fallback, the acceptance test passes with a captured transcript, tests pass, and install works through the harness's own mechanism.

Inputs

The target harness name and its install mechanism (plugin, extension, marketplace, git-URL, package-manifest field, or local installer) must be supplied. Optional: a prior port attempt for this harness, and the closest existing reference integration to copy.

Procedure

  1. Search open and closed PRs and issues for a prior attempt at this harness; if one exists, understand why it stalled before starting a fresh attempt. Done when: the search returns zero prior attempts or a named prior attempt with its stalling reason, and no fresh code is written yet.
  2. Check the capability checklist before writing code. Hard requirement: the harness must inject text into the model's context at the start of every session with no per-session opt-in: a hook or event system that runs a shell command and reads its stdout; an in-process plugin or extension with a session-start or message lifecycle callback that can mutate the message array; or an instructions-file convention where the harness loads a context file that the installed extension ships and the manifest declares. If the only path is per-session opt-in by the human partner, stop: the harness cannot be properly supported and the acceptance test will fail. Done when: the capability checklist is answered for the target harness, and the session-start injection requirement is confirmed met or the run stops with a stated inability.
  3. Confirm the rest of the checklist: skill discovery and invocation (a native skill tool, or the sanctioned fallback of reading the relevant SKILL.md with the file-read tool: a harness with neither cannot work); file read, write, and edit (essential, no workaround); run shell commands (essential); subagent or task dispatch (degradable: point at the real tool when present, else reuse the skill's own fallback wording, and never invent a Task call); todo or task tracking (degradable: fall back to a plan file); web fetch or search (degradable). Before building, check whether the harness can load an existing manifest; a port that adds nothing but a README paragraph is a valid outcome. Done when: every checklist capability is confirmed present, degradable, or absent with a named workaround, and no capability is silently assumed.
  4. Discover the harness's actual mechanism empirically; do not assume it behaves like a harness it forked from. Search the web for its docs; find and read an existing third-party extension, because a working example beats docs; check what it loads at startup. If it is underdocumented, reverse-engineer it: run strings or grep the binary and install tree for hook event names, config paths, and the instructions file it reads; ask the running model to list the exact machine names of every tool it can call, which is the authoritative way to get tool names without inventing them; and prove every assumption with a unique-marker test: inject a nonsense token through the mechanism believed to work, start a fresh session, and confirm the token reached the model. A fork does not inherit its parent's behavior, so verify with a marker even when the parent's recipe looks transferable. Done when: the harness injection mechanism is confirmed by a unique-marker test that injected a nonsense token and observed it reach the model in a fresh session, and every tool name is sourced from the running model or a working extension, not assumed.
  5. Select and implement the integration branch in references/integration-shapes.md: shell hook, in-process plugin/extension, or always-loaded instructions file. Keep skill discovery and bootstrap delivery as separate decisions, use only the harness's real tool names, and ship everything through its own installer without editing user config or skill bodies. Done when: the chosen branch auto-injects the bootstrap every session, exposes skill invocation and the tool mapping, and its branch-specific tests pass.

Read the full file on GitHub · 45 lines

Files

What ships with it

2 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. 4d ago Changed · -21 tokens per session d294baa0456b
  2. 6d ago First seen · 45 lines · 61 tokens per session scan A 25d1ed9dbf95

Subscribe to this mod's changes

harness-port-guide is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 1,967 once invoked, about $0.0002 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 2026-09-04.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens