Trace Harness Launch Failure

Community

ashutoshsinghpr7

trace-harness-launch-failure

Empty session traces mean launch failure, not agent behavior — verify api_call_count/tool_call_count and stdout.txt before analyzing.

Overview

Publisher	ashutoshsinghpr7
Repository	`wikiskill`
Skill name	`trace-harness-launch-failure`
Stars	281
Forks	26
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ashutoshsinghpr7 on GitHub. Read the source before you install it.

Installation

Install the Trace Harness Launch Failure AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/trace-harness-launch-failure
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/trace-harness-launch-failure

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ashutoshsinghpr7/wikiskill.git /tmp/wikiskill
mkdir -p .claude/skills
cp -r /tmp/wikiskill/skills/trace-harness-launch-failure .claude/skills/trace-harness-launch-failure

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trace Harness Launch Failure in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Trace Harness Launch Failure on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Trace Harness Launch Failure is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Trace Harness Launch Failure — empty sessions, scores from deliverables

Problem

Four training traces contain ONLY the initial task prompt: 1 message, 0 tool calls, 0 API calls, ~1 s duration. No agent reasoning, tool call, or final answer anywhere — yet meta.json carries scores (0.0 / 1.0).

Root cause

Every recorded run died at launch: runs/<task>/stdout.txt shows "HTTP 400: default is not a valid model ID" — the harness sent an invalid model ID instead of the configured model, so the agent never executed. The scores were produced by grading the on-disk deliverables against the exact-match graders in tasks.json — not from any recorded agent behavior.

Fix

Before analyzing "agent behavior", verify the session actually ran: check api_call_count / tool_call_count / message_count in the trace and stdout.txt for launch errors. Empty trace == no behavioral evidence.
When traces are empty, reconstruct ground truth by diffing the on-disk deliverable against the task's grader expectation (tasks.json → grader.expected), and read spec.md + input data to explain the score.
Treat prior-iteration behavioral claims as unverifiable until new traces confirm them; flag evidence status in the run log.
Surface the harness bug so the runner is fixed before the next iteration, otherwise every proposal rests on inferred data.

Frequently asked questions

What does the Trace Harness Launch Failure AI skill do?

Empty session traces mean launch failure, not agent behavior — verify api_call_count/tool_call_count and stdout.txt before analyzing.

Why use Trace Harness Launch Failure on TypingMind?

Because you install it once and use it with any model. Trace Harness Launch Failure is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Trace Harness Launch Failure in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ashutoshsinghpr7/wikiskill/tree/main/skills/trace-harness-launch-failure. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Trace Harness Launch Failure?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Trace Harness Launch Failure?

As many as you like. As long as a model supports skills, you can use Trace Harness Launch Failure with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Trace Harness Launch Failure AI skill free?

Yes. It is published on GitHub by ashutoshsinghpr7 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Trace Harness Launch Failure — empty sessions, scores from deliverables

Problem

Root cause

Fix

Frequently asked questions

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