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 commands/deeleeramone/pywry/examplesgit clone --depth 1 https://github.com/deeleeramone/PyWryWhat 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 | $0.00016 | $0.00279 |
| Opus 5 | $0.00008 | $0.00139 |
| Sonnet 5 | $0.00003 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
examples 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.
What it actually says
If $ARGUMENTS is empty:
List every script in the PyWry examples directory. For each, print <filename> — <one‑line description from the script's module docstring>. Find the examples directory by running python -c "import pywry, os; print(os.path.join(os.path.dirname(pywry.__file__), '..', 'examples'))" and listing *.py files there (or fall back to ./pywry/examples/ if running from the repo).
If $ARGUMENTS names an example:
- Verify the file exists (case‑insensitive match on filename stem).
- Run it with
PYWRY_HEADLESS=1 python <path>and a 20‑second timeout. - Capture stdout and stderr.
- Report: exit code, a summary of any widget IDs created (parse from stdout), and the last 40 lines of output.
Do not modify the example file. Do not pip install anything. If the example requires an extra (e.g. pywry[openai], pywry[anthropic]), surface the ImportError and tell the user which extra to install.
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 · 18 lines · 16 tokens per session scan A 08af38b54ac6
examples is a command published in the GitHub repository deeleeramone/PyWry (93 stars, last pushed 8d ago), licensed Apache-2.0. It adds 16 tokens to every session and 279 once invoked, about $0.0001 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 commands, from other repositories
autobot
Launch a bot command in an isolated autobot session with its own worktree, backend, and frontend.
uxbot-aggregate
Aggregate per-task UXBot reports into an overall UX report, looking for patterns across tasks.
qabot
You are the orchestrator for the qabot workflow. QABot performs pre-merge QA analysis on the current branch, running directly in this project against the locally running server. For an isolated worktree version, use /autobot /qabot instead.
fixbot
You are the orchestrator for the fixbot workflow. Fixbot fixes a Linear issue, running directly in this project against the locally running server. For an isolated worktree version, use /autobot /fixbot instead.
qabot-report
Regenerate the QA report from existing review files.
autobot-result
Print the most recent result.md for an autobot session, so the user can see how a bot is doing without attaching to its tmux session.