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-document-project.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-document-project)<a href="https://agentmods.dev/commands/khalilbenaz/mdan/mdan-document-project"><img src="https://agentmods.dev/badge/commands/khalilbenaz/mdan/mdan-document-project/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-document-project"><img src="https://agentmods.dev/badge/commands/khalilbenaz/mdan/mdan-document-project.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 | $0.00036 | $0.00089 |
| Opus 5.5 | $0.00014 | $0.00036 |
| Sonnet 5.5 | $0.00007 | $0.00018 |
| Haiku 4.5 | $0.00004 | $0.00009 |
Grade A, and why
document-project 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/mdan/workflows/05-ship/document-project/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 · 36 tokens per session scan A 097f0ddafaf7
document-project is a command published in the GitHub repository khalilbenaz/MDAN (0 stars, last pushed 12d ago), licensed MIT. It adds 36 tokens to every session and 89 once invoked, about $0.0001 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
checkpoint
Export, refresh, verify, or import a comprehensive cross-topic Project Knowledge Checkpoint for a repository, with privacy checks.
gh-triage
GitHub OSS maintainer lifecycle triage, review, and approval management.
init
Use when the user invokes /goal-flight init to scaffold Goal Flight project state for a long-running orchestrated repository run.
build-corpus
Use when the user invokes /goal-flight build-corpus to build or refresh the private Goal Flight dispatch-context corpus.
migrate
Use when the user invokes /goal-flight migrate to preview and import existing markdown task lists into Goal Flight draft task-store items.
pm-help
List all great-pm commands and what each does, grouped by stage / purpose.