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/zeweihan/aiworkdeck/sidebar-shellgit clone --depth 1 https://github.com/zeweihan/aiworkdeckWhat 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 | $0.00065 | $0.22243 |
| Opus 5 | $0.00032 | $0.11121 |
| Sonnet 5 | $0.00013 | $0.04449 |
| Haiku 4.5 | $0.00006 | $0.02224 |
Grade A, and why
sidebar-shell 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 yesterday.
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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- yesterday First seen · 674 lines · 65 tokens per session scan A 9d92f25aca48
sidebar-shell is an agent published in the GitHub repository zeweihan/aiworkdeck (79 stars, last pushed yesterday), licensed AGPL-3.0. It adds 65 tokens to every session and 22,243 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
coding-guidelines
These are ExStruct-specific coding conventions for achieving a codebase that AI (Codex) and humans can maintain together over the long term. The conventions below also apply when having Codex generate code. They are intended to stabilize the quality of AI-generated code, improve maintainability, and align with Ruff /…
overview
ExStruct is a Python library that extracts semantic structure from Excel workbooks. It combines openpyxl, Excel COM (xlwings), and a LibreOffice backend to generate structured data that LLMs can work with easily.
adr-criteria
This document defines the criteria AI agents use to classify a change as required, recommended, or not-needed.
adr-workflow
This document defines the standard flow for handling ADRs from issues and PRs.
adr-governance
This document defines when AI agents should create or update ADRs in ExStruct, and what counts as evidence.
AGENTS
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.