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.
git clone --depth 1 https://github.com/basher83/lunar-claudeWrote 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/basher83/lunar-claude/new)<a href="https://agentmods.dev/commands/basher83/lunar-claude/new"><img src="https://agentmods.dev/badge/commands/basher83/lunar-claude/new/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/basher83/lunar-claude/new"><img src="https://agentmods.dev/badge/commands/basher83/lunar-claude/new.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 | $0.00010 | $0.00475 |
| Opus 5.5 | $0.00004 | $0.00190 |
| Sonnet 5.5 | $0.00002 | $0.00095 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
new 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Start an Architecture Decision Record workflow for: $ARGUMENTS
Use the adr-methodology skill for criteria frameworks and templates.
Phase 1: Context Gathering
Ask the user to describe:
- The Problem: What architectural decision needs to be made? What's driving the need for a decision now?
- Constraints: Timeline, team size, existing technology stack, budget limitations, compliance requirements
- Stakeholders: Who is affected? Who has decision authority? Who needs to be informed?
- Initial Options: Any solutions already under consideration? Prior art or existing patterns?
Wait for user responses before proceeding. Ask follow-up questions if context is insufficient.
Phase 2: Framework Selection
Based on the context, recommend an assessment framework:
- Salesforce Well-Architected (Trusted/Easy/Adaptable): For enterprise decisions with security, UX, and scale concerns
- Technical Trade-off (Operational/Development/Integration): For infrastructure and tooling decisions
- Custom: When neither fits, extract 3-5 key decision drivers and create custom criteria
Explain the recommendation and confirm with user.
Phase 3: Criteria Generation
Generate assessment criteria grouped by the selected framework's pillars. For each criterion:
- Name: Clear, specific identifier
- Rationale: Why this criterion matters for THIS decision (not generic)
- Good looks like: What success means for this criterion
Present criteria as a reviewable list. Ask user to:
- Add missing criteria
- Remove irrelevant criteria
- Adjust importance of criteria
Phase 4: Save State
After user confirms criteria, write to .claude/adr-session.yaml:
topic: "[decision topic]"
status: "criteria_defined"
framework: "[salesforce|technical|custom]"
criteria:
- name: "[criterion name]"
pillar: "[framework pillar]"
rationale: "[why it matters]"
good_looks_like: "[definition of success]"
Create the .claude/ directory if it doesn't exist.
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.
- 2mo ago First seen · 62 lines · 10 tokens per session scan A f20cea730fd9
new is a command published in the GitHub repository basher83/lunar-claude (23 stars, last pushed today), licensed MIT. It adds 10 tokens to every session and 475 once invoked, about $0.0000 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 2026-09-03.
new compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| newbasher83/lunar-claude | Command | 23 | today | MIT | A | 10 | Claude Code |
| checklistgithub/spec-kit | Command | 149k | today | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 149k | today | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 149k | today | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 149k | today | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 149k | today | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 149k | today | MIT | A | 14 | Claude Code |