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.
git clone --depth 1 https://github.com/Intense-Visions/harness-engineeringWrote 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.
[](https://agentmods.dev/agents/intense-visions/harness-engineering/harness-task-executor)<a href="https://agentmods.dev/agents/intense-visions/harness-engineering/harness-task-executor"><img src="https://agentmods.dev/badge/agents/intense-visions/harness-engineering/harness-task-executor/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.
<a href="https://agentmods.dev/agents/intense-visions/harness-engineering/harness-task-executor"><img src="https://agentmods.dev/badge/agents/intense-visions/harness-engineering/harness-task-executor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.07721 |
| Opus 5.5 | $0.00020 | $0.03088 |
| Sonnet 5.5 | $0.00010 | $0.01544 |
| Haiku 4.5 | $0.00005 | $0.00772 |
Grade A, and why
harness-task-executor 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 555 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
Execute implementation plans task-by-task using harness methodology. Maintains persistent state, follows TDD rhythm, runs verification after each task, and respects checkpoint protocol.
Skills
- harness-execution
Steps
- Run
harness validate(always) - Run
harness check-deps(always) - Run
harness scan(manual) - Execute harness-execution skill (on_plan_approved)
- Execute harness-execution skill (manual)
Methodology
Harness Execution
Execute a plan task by task with atomic commits, checkpoint protocol, and persistent knowledge capture. Stop on blockers. Do not guess.
When to Use
- When an approved plan exists (output of harness-planning) and implementation should begin
- When resuming execution of a previously started plan after a context reset
- When
on_new_featureoron_bug_fixtriggers fire and a plan is already in place - NOT when no plan exists (use harness-planning first)
- NOT when the plan needs revision (update the plan first, then resume execution)
- NOT when exploring or brainstorming (use harness-brainstorming)
- NOT for ad-hoc single-task work that does not follow a plan
Process
Iron Law
Execute the plan as written. If the plan is wrong, stop and fix the plan — do not improvise.
Deviating mid-execution introduces untested assumptions, breaks atomicity, and makes progress untraceable. If a task cannot be completed as written, that is a blocker. Record it and stop.
Argument Resolution
When invoked by autopilot (or with explicit arguments), resolve paths before starting:
- Session slug: If
session-slugargument provided, set{sessionDir} = .harness/sessions/<session-slug>/. Pass togather_context({ session: "<session-slug>" }). All state/handoff writes go to{sessionDir}/. - Plan path: If
plan-pathargument provided, read plan from that path. Otherwise, discover from{sessionDir}/handoff.json(read upstream planning output) or searchdocs/changes/<topic>/plans/(preferred) anddocs/plans/(legacy fallback).
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.
- 1mo ago First seen · 555 lines · 51 tokens per session scan A ebc567b74f96
harness-task-executor is an agent published in the GitHub repository Intense-Visions/harness-engineering (22 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 7,721 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 2026-08-30.
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