Borrowing it
Nothing to install: this file belongs to khalilbenaz/MDAN. 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/khalilbenaz/MDAN/main/.claude/commands/mdan-pay-compliance-review.mdgit clone --depth 1 https://github.com/khalilbenaz/MDANWrote 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/khalilbenaz/mdan/mdan-pay-compliance-review)<a href="https://agentmods.dev/commands/khalilbenaz/mdan/mdan-pay-compliance-review"><img src="https://agentmods.dev/badge/commands/khalilbenaz/mdan/mdan-pay-compliance-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/khalilbenaz/mdan/mdan-pay-compliance-review"><img src="https://agentmods.dev/badge/commands/khalilbenaz/mdan/mdan-pay-compliance-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 | $0.00068 | $0.00123 |
| Opus 5.5 | $0.00027 | $0.00049 |
| Sonnet 5.5 | $0.00014 | $0.00025 |
| Haiku 4.5 | $0.00007 | $0.00012 |
Grade A, and why
pay-compliance-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 1mo 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
IT IS CRITICAL THAT YOU FOLLOW THIS COMMAND: LOAD the FULL @{project-root}/_mdan/payments-ma/workflows/pay-compliance-review/wizard.md, READ its entire contents and follow its directions exactly!
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.
- 1mo ago First seen · 7 lines · 68 tokens per session scan A 1e05d2d50c9b
pay-compliance-review is a command published in the GitHub repository khalilbenaz/MDAN (0 stars, last pushed 12d ago), licensed MIT. It adds 68 tokens to every session and 123 once invoked, about $0.0003 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 2026-09-24.
Other commands, from other repositories
compact-prep
Ask the agent to prepare for conversation compaction by updating any relevant state and providing guidance for the compaction agent and to kick off the session there after.
build-corpus
Use when the user invokes /goal-flight build-corpus to build or refresh the private Goal Flight dispatch-context corpus.
pm-crystallize
Promote a project-local lesson to /.great-pm/decisions.md (cross-project memory) when it has 3+ hits with high confidence. Surfaces candidates as PROPOSALS — never auto-promotes; human approval required.
mine
Quickly capture relevant project context into Memento memory.
search
Search your memories using Memento hybrid retrieval.
rem_help
Each section is printed verbatim by --help for the command it names. The agreed design is issue #1656; change a page there and here together.