Lody is a shared workspace that connects coding agents running on different computers and lets people view and direct their work from desktop, mobile, web, or a command line. Teams use it to share agent conversations, monitor progress and code changes, and assign work to connected machines while retaining their existing agents and configurations.
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 skills add LodyAI/Lody --skill acceptancegit clone --depth 1 https://github.com/LodyAI/LodyWrote 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/skills/lodyai/lody/acceptance)<a href="https://agentmods.dev/skills/lodyai/lody/acceptance"><img src="https://agentmods.dev/badge/skills/lodyai/lody/acceptance/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/skills/lodyai/lody/acceptance"><img src="https://agentmods.dev/badge/skills/lodyai/lody/acceptance.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 | $0.00163 | $0.03134 |
| Opus 5.5 | $0.00065 | $0.01254 |
| Sonnet 5.5 | $0.00033 | $0.00627 |
| Haiku 4.5 | $0.00016 | $0.00313 |
Grade A, and why
acceptance 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 today.
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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Acceptance (Builder Self-Evidence)
You are the builder for a delivery. A separate review step judges it against
a plan — checks you author, or a verify plan handed to this run. A check that
declares requiredEvidence cannot pass on your text alone: a missing artifact
marks it uncertain and holds the delivery.
author (or discover) the plan → pick the surface → capture evidence → publish the round → self-check coverage
Read the project layer first
Before touching an environment, check for .agents/acceptance/:
| File | What it owns |
|---|---|
PROJECT.md |
Start/stop commands, ports, services, auth, surfaces, probes |
PROCESS.md |
The run process: approval gate, execution rules, teardown |
common-mistakes.md |
Project living log — what earlier rounds got wrong here |
probe-mock-patterns.md |
Project living log — how to force state on this product |
The project layer owns how this repository is run; this skill owns what a
valid round is (plan, evidence, report, immutable round, the hard rule). On
running, the project layer wins; on what may be published, this skill wins. Never
invent a start command, port, or auth flow PROJECT.md answers; fix a divergence
in the adapter during the run instead of working around it. No
.agents/acceptance/ → bootstrap one first:
project-adapter.md.
Living logs — inject each by its own shape
Both layers (this skill's generic copies and the project's own) are loaded once the target is known, silently:
- common-mistakes.md — read its
Checklist in full, now and again before marking any case
pass. Pull an entry by id only when a checklist line applies to a case. - probe-mock-patterns.md — read the
heading index, then pull only the entries this round needs. Pick by meaning,
not keyword;
rgover the body is the fallback.
What ships with it
18 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.
- references/agent-browser.md 8.6 KB
- references/auth-web.md 3.5 KB
- references/common-mistakes.md 9.3 KB
- references/computer-use.md 4.5 KB
- references/evidence.md 4.9 KB
- references/interaction-cost.md 4.4 KB
- references/plan-format.md 3.7 KB
- references/probe-mock-patterns.md 23 KB
- references/project-adapter.md 8.3 KB
- references/recording-cdp.md 2.3 KB
- references/recording-ios-simulator.md 2.8 KB
- references/recording-native-macos.md 1.3 KB
- references/report.md 17 KB
- surfaces/cli.md 2.5 KB
- surfaces/electron.md 4.1 KB
- surfaces/ios-simulator.md 11 KB
- surfaces/native.md 2.5 KB
- surfaces/web.md 3.2 KB
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.
- today First seen · 210 lines · 163 tokens per session scan A 50a63f22cec2
acceptance is a skill published in the GitHub repository LodyAI/Lody (1,674 stars, last pushed today), licensed Apache-2.0. It adds 163 tokens to every session and 3,134 once invoked, about $0.0007 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 2026-11-07.
acceptance compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| acceptanceLodyAI/Lody | Skill | 1.7k | today | Apache-2.0 | A | 163 | Claude Code, Codex |
| agent-evaluationbojieli/ai-agent-book | Skill | 57k | 1mo ago | Apache-2.0 | A | 133 | Claude Code, Codex |
| eval-dataset-designbojieli/ai-agent-book | Skill | 57k | 1mo ago | Apache-2.0 | A | 138 | Claude Code, Codex |
| nexent-daily-testModelEngine-Group/nexent | Skill | 6.2k | yesterday | MIT | A | 78 | Claude Code, Codex |
| tfp-verificationModelEngine-Group/nexent | Skill | 6.2k | yesterday | MIT | A | 15 | Claude Code, Codex |
| room-playbooknexus-research-lab/nexus | Skill | 160 | 2d ago | Apache-2.0 | A | 24 | Claude Code, Codex |
| bmad-qa-generate-e2e-testsalvin-reyes/better-agentic-ide | Skill | 45 | 3d ago | MIT | A | 37 | Claude Code |