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.
npx agentmods add commands/rayforcedb/raysense/bootstrapgit clone --depth 1 https://github.com/RayforceDB/raysenseWhat 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 | $0.00025 | $0.00228 |
| Opus 5 | $0.00013 | $0.00114 |
| Sonnet 5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
bootstrap 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 yesterday.
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
Bootstrap a raysense session for the project at $1.
If $1 is empty, treat the project root as the current working directory.
- Call
raysense_healthwithpath: $1. Note the overall grade and the weakest dimension. - Call
raysense_baseline_savewithpath: $1to persist the baseline ($1/.raysense/baseline/). - Call
raysense_memory_summarywithpath: $1to confirm the splayed tables are live; report row/column counts. - Call
raysense_hotspotsandraysense_ruleswithpath: $1. List the three hottest files and any rules currently failing.
Finish with a short summary: overall grade, weakest dimension, the three hottest files, and pre-existing rule failures (so later regressions can be told apart from baseline noise).
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.
- yesterday First seen · 16 lines · 25 tokens per session scan A 35fe96a62fd5
bootstrap is a command published in the GitHub repository RayforceDB/raysense (11 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 228 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 2026-08-30.
Other commands, from other repositories
brooks-audit
Run a Brooks-Lint architecture audit.
deploy
Deploy Solana program (devnet first, then mainnet).
simplify
The over-engineering review: five tags (delete, stdlib, native, yagni, shrink), a mandatory replacement per finding, and a real null result when there is nothing to cut.
commit-claude-config
Version the Solana AI Kit config in git (un-ignores .claude/, CLAUDE.md, .mcp.json, .gitmodules and commits them).
git
The pre-finish status: branch, hygiene findings, message checks, workflow lint, template state.
VibeGuard: ExecPlan
Long-term task execution plan — generates self-contained execution documents from SPEC, supports cross-session recovery.