Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/commands/valory-xyz/open-autonomy/autonomy_analyse)<a href="https://agentmods.dev/commands/valory-xyz/open-autonomy/autonomy_analyse"><img src="https://agentmods.dev/badge/commands/valory-xyz/open-autonomy/autonomy_analyse.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.02728 |
| Opus 5 | $0.00000 | $0.01364 |
| Sonnet 5 | $0.00000 | $0.00546 |
| Haiku 4.5 | $0.00000 | $0.00273 |
Grade A, and why
autonomy_analyse 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 6d 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 — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tools for analysing and verifying AI agents.
This command group consists of a number of functionalities to analyse and verify AI agents, including {{fsm_app}} skill consistency checks. See the appropriate subcommands for more information.
autonomy analyse docstrings
Analyse {{fsm_app}} skill docstring definitions.
This command verifies that the AbciApp class docstring is follows a standard format.
??? example
The docstring corresponding to the [Hello World AI agent](https://stack.olas.network/demos/hello-world/) is
```python
"""HelloWorldAbciApp
Initial round: RegistrationRound
Initial states: {RegistrationRound}
Transition states:
1. RegistrationRound
- done: 1.
2. CollectRandomnessRound
- done: 2.
- no majority: 1.
- round timeout: 1.
3. SelectKeeperRound
- done: 3.
- no majority: 0.
- round timeout: 0.
4. PrintMessageRound
- done: 4.
- round timeout: 0.
5. ResetAndPauseRound
- done: 1.
- no majority: 0.
- reset timeout: 0.
Final states: {}
Timeouts:
round timeout: 30.0
reset timeout: 30.0
"""
```
Usage
autonomy analyse docstrings [OPTIONS]
Options
--update
: Update docstrings if required.
--help
: Show the help message and exit.
Examples
To analyse all the {{fsm_app}} skill docstrings within the local registry, run the following command in the directory containing the registry:
autonomy analyse docstrings
To update/fix the {{fsm_app}} skill docstrings, run the following command:
autonomy analyse docstrings --update
autonomy analyse fsm-specs
Verify the {{fsm_app}} against its specification or generate the {{fsm_app}} specification file.
Usage
Usage: autonomy analyse fsm-specs [OPTIONS]
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.
- 6d ago First seen · 415 lines · 0 tokens per session scan A 8b943b65f3a5
autonomy_analyse is a command published in the GitHub repository valory-xyz/open-autonomy (127 stars, last pushed 9d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,728 tokens. 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
agentlas-cloud
Staff a task only from the signed-in owner's Agent Cloud agents.
agentlas-local
Staff a task only from Agentlas agents registered on this machine.
dashboard-session-diff
Show file changes (git diff) for a session by id-prefix. Usage /dashboard:session-diff . Runs locally, no LLM.
dashboard-session-list
List all pi sessions (id, status, name, cwd). Runs locally, no LLM.
os-meeting
快速创建和管理AI团队会议.
spec-intake
Execute the canonical workflow: .agent/workflows/spec-intake.md.