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/consider)<a href="https://agentmods.dev/commands/basher83/lunar-claude/consider"><img src="https://agentmods.dev/badge/commands/basher83/lunar-claude/consider.svg" alt="Measured on agentmods" 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 | $0.00417 |
| Opus 5 | $0.00005 | $0.00209 |
| Sonnet 5 | $0.00002 | $0.00083 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
consider 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 4d 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
Plugin-Dev Considerations Manager
Manage design considerations, decisions, and ideas in .claude/plugin-dev-considerations.local.md.
Workflow
- Check if
.claude/plugin-dev-considerations.local.mdexists - If not, create it with this structure:
---
type: design-considerations
plugin: plugin-dev
last_updated: [today]
---
# Plugin-Dev Design Considerations
Tracking decisions, future ideas, and observations that emerge during development.
## Open Considerations
(none yet)
## Decisions Made
(none yet)
## Future Ideas
(none yet)
-
Read and show current state:
- Count of open CON entries
- Count of DEC entries
- Count of IDEA entries
-
Ask user what to do:
- Add consideration (CON)
- Add decision (DEC)
- Add idea (IDEA)
- Update existing entry
- Just reviewing (done)
-
Based on selection, gather needed info and add/update entry
-
Update
last_updatedin frontmatter
Entry Formats
CON (Consideration):
### CON-XXX: [title]
**Raised:** [date]
**Context:** [where this came up]
**Status:** Under consideration
**Observation:**
[what was noticed]
**Next action:** [what to do next]
DEC (Decision):
### DEC-XXX: [title]
**Date:** [date]
**Context:** [what prompted this]
**Decision:** [what was decided]
**Rationale:** [why]
IDEA (Future Idea):
### IDEA-XXX: [title]
[brief description]
Numbering
Find highest existing number in each category and increment by 1.
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.
- 4d ago First seen · 99 lines · 10 tokens per session scan A 0e067f4870ee
consider is a command published in the GitHub repository basher83/lunar-claude (22 stars, last pushed yesterday), licensed MIT. It adds 10 tokens to every session and 417 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 2026-09-03.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.