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.
npx agentmods add agents/intense-visions/harness-engineering/harness-task-executorgit clone --depth 1 https://github.com/Intense-Visions/harness-engineeringWhat 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 | $0.00051 | $0.07721 |
| Opus 5 | $0.00026 | $0.03861 |
| Sonnet 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 2d 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.
- 2d 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 (19 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 7,721 once invoked, about $0.0003 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.