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 instructions/dmmdea/offload-harness/agents-mdgit clone --depth 1 https://github.com/dmmdea/offload-harnessWhat 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 | $0.01303 | $0.01303 |
| Opus 5 | $0.00651 | $0.00651 |
| Sonnet 5 | $0.00261 | $0.00261 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
offload-harness AGENTS.md 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Vendor-neutral entry point for any AI coding agent working in this repository. (Claude Code also
auto-loads CLAUDE.md, which carries the same orientation in more detail.)
What this repo is
offload-harness — a local-first Go harness that delegates short-context, low-judgment work
(summarize / classify / extract / triage, plus vision / OCR / transcription / media generation) to a
free Gemma-4 cascade served by llama.cpp. It ships as a CLI, an MCP server (local-offload),
and an optional local coding agent (local-agent). It never calls a cloud model; on low
confidence it returns a structured defer so the calling agent does that task itself.
Documentation map
Detailed documentation lives in docs/. This file only routes you there.
docs/README.md— the index. Start here.docs/systems/— how each part of the harness works (offload pipeline, coding agent, MCP server, media generation, fleet node, installer, accelerators).docs/tiers/— one page per hardware tier (GENERATED fromsetup/templates/profiles.jsonbycmd/gentiers; rungo generate ./...after changing the profile table) plus checked-in capability reports from real machines.docs/flows/— behavior that crosses systems (cascade escalation and defer, run-graph manifest satisfaction, fleet job lifecycle, zero-warm generation).docs/systems/printed-clis.md— thetools/printed CLIs: what they are, why they are separate Go modules, and the regenerate/re-vendor cycle.docs/systems/opencode-integration.md— the harness inside opencode: MCP registration, rules parity, and theopencode-local-offloadplugin.docs/architecture/decisions/— Architecture Decision Records. OnlyAcceptedstatus is current guidance.docs/glossary.md— terms with a specific meaning here (Defer, Tier, Zero-Warm, Node Manifest, …).
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 · 87 lines · 1,303 tokens per session scan A 80499b8ed2c1
offload-harness AGENTS.md is an instructions file published in the GitHub repository dmmdea/offload-harness (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 1,303 tokens to every session, about $0.0065 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 2026-08-31.
Other instructions, from other repositories
gptme AGENTS.md
AGENTS.md instructions for gptme/gptme, covering agent instructions for gptme, git workflow, code style, testing and project structure.
strix-halo-guide AGENTS.md
Instructions for hogeheer499-commits/strix-halo-guide, covering agents.md, core project lens, documentation style, do-not-invent rules and benchmark claim rules.
row-bot CLAUDE.md
Instructions for siddsachar/row-bot, a project described as: Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud…
maclocal-api AGENTS.md
Instructions for scouzi1966/maclocal-api, covering repository guidelines, project structure & module organization, build, test, and development commands, coding style & naming conventions and testing guidelines.
paddler CLAUDE.md
Instructions for intentee/paddler: When working with this codebase, prioritize readability over cleverness. Ask clarifying questions before making architectural changes.
Bonsai-demo AGENTS.md
Instructions for PrismML-Eng/Bonsai-demo, covering agent guide — tuning the bonsai demo, why the 27b models (what to show off), the models, knobs that matter (27b) and adding mcp servers.