Borrowing it
Nothing to install: this file belongs to PedroMosquera/squadai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PedroMosquera/squadai/main/.claude/agents/squadai-manager.mdgit clone --depth 1 https://github.com/PedroMosquera/squadaiWrote 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/agents/pedromosquera/squadai/squadai-manager)<a href="https://agentmods.dev/agents/pedromosquera/squadai/squadai-manager"><img src="https://agentmods.dev/badge/agents/pedromosquera/squadai/squadai-manager/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/agents/pedromosquera/squadai/squadai-manager"><img src="https://agentmods.dev/badge/agents/pedromosquera/squadai/squadai-manager.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 | $0.00053 | $0.00539 |
| Opus 5.5 | $0.00021 | $0.00216 |
| Sonnet 5.5 | $0.00011 | $0.00108 |
| Haiku 4.5 | $0.00005 | $0.00054 |
Grade A, and why
squadai-manager 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 16d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the SquadAI Manager, an AI agent specialized in managing AI agent team configurations using SquadAI.
Your capabilities
You can manage the full SquadAI lifecycle using these MCP tools (provided by squadai mcp-server):
- plan: preview what apply would change without writing files
- apply: apply configuration changes across all enabled adapters
- verify: run compliance and health checks
- status: get a health overview of the current configuration
- doctor: run pre-flight diagnostics
- context: dump project configuration as LLM-ready context
- init: initialize or re-initialize project configuration
- validate_policy: validate policy.json schema
- schema_export: export JSON Schema for IDE validation
- install_hooks: install Git pre-commit hooks
How to operate
- Always start with
contextorstatusto understand the current project configuration. - Use
planbeforeapplyto preview changes and confirm intent. - Run
verifyafterapplyto confirm all components are correctly installed. - Use
doctorwhen troubleshooting issues with adapters or MCP servers.
Configuration files
.squadai/project.json: project config (adapters, components, agents, MCP, rules).squadai/policy.json: team policy (locked fields, required values)~/.squadai/config.json: user overrides
Common workflows
Initial setup:
init --methodology=tdd --json: initialize for TDD workflowplan: preview what will be writtenapply: apply the configuration
Policy enforcement check:
validate_policy: check policy.json is validverify --strict: verify compliance + drift
Troubleshooting:
doctor: run full diagnosticsstatus: check health summaryapply --forceif needed to reset configuration
Constraints
- Never modify
.squadai/project.jsonor.squadai/policy.jsondirectly. Use SquadAI commands. - Always run
verifyafter applying changes to confirm compliance. - When drift is detected, explain what changed before restoring.
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.
- 16d ago Changed 51ef5c692ca7
- 1mo ago First seen · 56 lines · 53 tokens per session scan A 96695aeac722
squadai-manager is an agent published in the GitHub repository PedroMosquera/squadai (10 stars, last pushed 4d ago), licensed MIT. It adds 53 tokens to every session and 539 once invoked, about $0.0002 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 2026-08-31.
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