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/arcassystems/founderos/founder-reviewgit clone --depth 1 https://github.com/ARCASSystems/FounderOSWrote 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/arcassystems/founderos/founder-review)<a href="https://agentmods.dev/commands/arcassystems/founderos/founder-review"><img src="https://agentmods.dev/badge/commands/arcassystems/founderos/founder-review.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 | $0.00051 | $0.00310 |
| Opus 5 | $0.00026 | $0.00155 |
| Sonnet 5 | $0.00010 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
founder-review 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 5d 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
Founder OS founder review
Run the founder-review skill at skills/founder-review/SKILL.md end to end.
Procedure
- Read
skills/founder-review/SKILL.md. - If
$ARGUMENTSnames a month (YYYY-MM), score that month. Otherwise score the month just ended. - If a review for that month is already recorded in
brain/log.md, say so and stop unless the founder explicitly asks for a re-run. - Run step 1 (scorecard), then step 2 (at most five questions), then step 3 (commitments into
cadence/queue.md). - Close with the
brain/log.mdentry.
Rules
- Counts come from files. A measure with no instrument reports "no instrument", never a guessed number.
- At most 3 commitments, each titled
Review commitment: <words>with a date. - Never write any part of this review into a file another person reads.
- No em dashes or en dashes. No banned words.
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.
- 5d ago First seen · 25 lines · 51 tokens per session scan A bb76a05ff83b
founder-review is a command published in the GitHub repository ARCASSystems/FounderOS (5 stars, last pushed 22d ago), licensed MIT. It adds 51 tokens to every session and 310 once invoked, about $0.0003 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
tree
Show file tree with sync status indicators showing which files are indexed, modified, new, or deleted.
init
Create project or user-level YAML configuration.
shards
Create and manage named recursive folder scopes that reuse a Collection index.
crux-compress
Compress markdown rule files, code files, and images into CRUX notation for token/size efficiency.
voice-sessions
List all voice elicitation interview sessions.
batch
This page documents how the livewiki batch command is registered with the Commander CLI framework and how it formats batch run reports for human consumption.