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/mrboups/xbrain/eval-reviewgit clone --depth 1 https://github.com/mrboups/xbrainWhat 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 | $0.00026 | $0.00235 |
| Opus 5 | $0.00013 | $0.00118 |
| Sonnet 5 | $0.00005 | $0.00047 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
gsd:eval-review 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 2d 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
<execution_context> @D:/VSC/xbrain/.claude/get-shit-done/workflows/eval-review.md @D:/VSC/xbrain/.claude/get-shit-done/references/ai-evals.md </execution_context>
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.
- 2d ago First seen · 33 lines · 26 tokens per session scan A d4632f1ed4a7
gsd:eval-review is a command published in the GitHub repository mrboups/xbrain (2 stars, last pushed 19d ago), licensed MIT. It adds 26 tokens to every session and 235 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
slm-loop
Run a task as a bounded, gate-verified loop backed by SuperLocalMemory — iterate until an independent gate passes, never on the agent's own claim.
pensyve
Route explicit Pensyve memory requests through the bundled MCP server; supports recall, remember, observe, inspect, status, review, forget, and mention-style guidance.
using-pensyve
Show available Pensyve memory tools, skills, and commands.
inspect
View all memories stored for an entity in Pensyve.
memory-status
Show Pensyve memory namespace statistics and health overview.
recall
Search Pensyve memory by semantic similarity and text matching.