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/cloudrepo-io/founder-os/researchgit clone --depth 1 https://github.com/cloudrepo-io/founder-osWrote 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/cloudrepo-io/founder-os/research)<a href="https://agentmods.dev/commands/cloudrepo-io/founder-os/research"><img src="https://agentmods.dev/badge/commands/cloudrepo-io/founder-os/research.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 | $0.00010 | $0.00740 |
| Opus 5 | $0.00005 | $0.00370 |
| Sonnet 5 | $0.00002 | $0.00148 |
| Haiku 4.5 | $0.00001 | $0.00074 |
Grade A, and why
research 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Research Task to Queue
Add a research or investigation task that produces a plan document before implementation begins.
Arguments
$ARGUMENTS- Brief description of what needs to be researched
When to Use
Use /queue:research instead of /queue:add when:
- The task requires investigation before implementation
- You need to evaluate multiple approaches
- The scope is unclear and needs a plan first
- Architecture decisions need to be documented
- The change is significant enough to warrant review before coding
Process
-
Read
.claude/queue/backlog.jsonto get current items -
Gather required information:
- Title: From the arguments (or ask if unclear)
- Priority: 1 (urgent) to 5 (low) - ask if not specified
- Owner: Which agent should investigate (e.g., staff-engineer, staff-software-architect)
- Research Question: What needs to be investigated
- Scope: What areas/files/systems are involved
- Expected Output: What the plan document should cover
-
Create the work item:
{ "id": "YYYY-MM-DD-{slug}", "title": "Research: Brief description", "type": "research", "priority": 1-5, "status": "pending", "requires_approval": true, "owner": "agent-type", "plan_file": ".claude/queue/plans/YYYY-MM-DD-{slug}.md", "context": { "problem": "What needs investigating", "research_questions": ["Question 1", "Question 2"], "scope": ["area1", "area2"], "expected_output": "What the plan should cover" }, "sizing": "single-context", "created": "ISO timestamp", "updated": "ISO timestamp" } -
Add to backlog.json and write the file
Plan File Template
When the research task is picked up via /queue:work, the agent will create a plan document at the plan_file path using this structure:
# Plan: {title}
**Research Task**: {id}
**Author**: {owner}
**Date**: {date}
## Problem Statement
{What we're trying to solve}
## Investigation Summary
{What was discovered during research}
## Proposed Approach
{Recommended solution with rationale}
## Alternatives Considered
| Approach | Pros | Cons |
|----------|------|------|
| {alt1} | ... | ... |
| {alt2} | ... | ... |
## Implementation Plan
1. {Step 1}
2. {Step 2}
3. {Step 3}
## Files Affected
- {file1}: {what changes}
- {file2}: {what changes}
## Risks & Mitigations
- {risk1}: {mitigation}
## Open Questions
- {Any remaining unknowns}
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 · 118 lines · 10 tokens per session scan A 00e322ab5b87
research is a command published in the GitHub repository cloudrepo-io/founder-os (19 stars, last pushed 7mo ago), licensed MIT. It adds 10 tokens to every session and 740 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
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.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
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.