Borrowing it
Nothing to install: this file belongs to ARCASSystems/FounderOS. 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/ARCASSystems/FounderOS/main/.claude/commands/employee-review.mdgit 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/employee-review)<a href="https://agentmods.dev/commands/arcassystems/founderos/employee-review"><img src="https://agentmods.dev/badge/commands/arcassystems/founderos/employee-review/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/commands/arcassystems/founderos/employee-review"><img src="https://agentmods.dev/badge/commands/arcassystems/founderos/employee-review.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 | $0.00060 | $0.00314 |
| Opus 5 | $0.00030 | $0.00157 |
| Sonnet 5 | $0.00012 | $0.00063 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
employee-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 9d 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 employee review
Run the employee-review skill at skills/employee-review/SKILL.md end to end.
Procedure
- If
$ARGUMENTSis empty, runpython scripts/employee_verdict.py renderand show which jobs have a review due, then ask which one. Stop there. - If
roles/employees.yamldoes not exist, reply:No org chart yet. Copy templates/roles/employees.yaml to roles/employees.yaml and add your first row - see rules/digital-employees.md.and stop. - Read
skills/employee-review/SKILL.mdand run it against the named id. - Refuse with one line if there are no verdicts and nothing filed. Never invent a performance narrative.
Rules
- Propose only. No diff lands without an explicit yes per diff.
- One employee per run.
- Never widen a tool grant inside a review.
- No pay, no commercial terms, no personal data in the registry.
- 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.
- 9d ago First seen · 25 lines · 60 tokens per session scan A 8bb9d5651c7f
employee-review is a command published in the GitHub repository ARCASSystems/FounderOS (5 stars, last pushed 26d ago), licensed MIT. It adds 60 tokens to every session and 314 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.
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