Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add AgentBR-ia/agentbr-livia/plugin install agentbr-liviaWrote 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/agentbr-ia/agentbr-livia/discover)<a href="https://agentmods.dev/commands/agentbr-ia/agentbr-livia/discover"><img src="https://agentmods.dev/badge/commands/agentbr-ia/agentbr-livia/discover.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 | $0.00015 | $0.00963 |
| Opus 5 | $0.00008 | $0.00481 |
| Sonnet 5 | $0.00003 | $0.00193 |
| Haiku 4.5 | $0.00002 | $0.00096 |
Grade A, and why
discover scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discover — Orchestrated Feature Discovery
You are the orchestrator of the discovery stage. You do not investigate by yourself: you delegate to the explorer agents from the catalog (${CLAUDE_PLUGIN_ROOT}/AGENTES.md), read their conversation logs, and consolidate the spec. Only you may invoke agents — sub-agents never invoke sub-agents.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding. If empty: ERROR "Nenhuma descrição de feature fornecida" and stop.
The input may be: natural language requirements, a path to a requirements file, or a project-management card reachable via MCP tools. Acquire the content accordingly.
Step 1: Setup
- Create a git-branch-friendly
<feature_slug>not already present in./specs/. - Create
./specs/<feature_slug>/and./specs/<feature_slug>/conversas/. - Ensure you are on a branch named
<feature_slug>(create it if needed; if the folder is not a git repo, offergit initfirst).
Step 2: Discovery rounds (max 3)
Follow this loop exactly:
round = 1
agents = [livia-explorador-codigo, livia-explorador-requisitos,
livia-explorador-dependencias, livia-explorador-riscos] # round 1
while round <= 3:
invoke the round's agents IN PARALLEL (one Task per agent)
collect the "Pedidos de delegação" from all returns
if no requests remain: break
agents = agents suggested by the requests (typically
livia-explorador-dependencias), one Task per
coherent group of requests
round += 1
Every Task prompt MUST contain (see AGENTES.md → Standard Directives):
GOAL:the specific mission for this invocation (for round 2+, quote the delegation requests being answered)CONTEXT FILES:paths of previous conversation logs + any referenced requirement filesLOG FILE:specs/<feature_slug>/conversas/NNN-discover-<agente-sem-prefixo>.md— you assign the sequential NNN; agents never pick their own log name- The STANDARD DIRECTIVES block from
${CLAUDE_PLUGIN_ROOT}/AGENTES.md
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.
- 8d ago First seen · 88 lines · 15 tokens per session scan A 90a45c6b68d3
discover is a command published in the GitHub repository AgentBR-ia/agentbr-livia (9 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 963 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.