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-sprint-planning.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-sprint-planning)<a href="https://agentmods.dev/commands/khalilbenaz/mdan/mdan-sprint-planning"><img src="https://agentmods.dev/badge/commands/khalilbenaz/mdan/mdan-sprint-planning/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-sprint-planning"><img src="https://agentmods.dev/badge/commands/khalilbenaz/mdan/mdan-sprint-planning.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 | $0.00029 | $0.00209 |
| Opus 5 | $0.00015 | $0.00105 |
| Sonnet 5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
sprint-planning 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
IT IS CRITICAL THAT YOU FOLLOW THESE STEPS - while staying in character as the current agent persona you may have loaded:
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 · 15 lines · 29 tokens per session scan A c718dfb309e5
sprint-planning is a command published in the GitHub repository khalilbenaz/MDAN (0 stars, last pushed 5mo ago), licensed MIT. It adds 29 tokens to every session and 209 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 2026-08-31.
Other commands, from other repositories
gh-triage
GitHub OSS maintainer lifecycle triage, review, and approval management.
status
Summarise what Fabrik is doing right now — board state, in-flight workers, worktrees with uncommitted changes.
init
Use when the user invokes /goal-flight init to scaffold Goal Flight project state for a long-running orchestrated repository run.
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-agent-retire
Mark a great-pm agent as deprecated. Adds a deprecation banner to the agent file, files a Beads issue to remove dependent commands/workflows, and logs the rationale. NEVER deletes the file (history preserved).
pm-agent-review
Review a great-pm agent's recent verdict history. Shows verdict distribution (PASS/FAIL/NEEDS-WORK), trend over time, and whether the agent is drifting.