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/prmichaelsen/remember-mcp/acp.package-creategit clone --depth 1 https://github.com/prmichaelsen/remember-mcpWrote 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/prmichaelsen/remember-mcp/acp.package-create)<a href="https://agentmods.dev/commands/prmichaelsen/remember-mcp/acp.package-create"><img src="https://agentmods.dev/badge/commands/prmichaelsen/remember-mcp/acp.package-create.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 | $0.00000 | $0.06377 |
| Opus 5 | $0.00000 | $0.03188 |
| Sonnet 5 | $0.00000 | $0.01275 |
| Haiku 4.5 | $0.00000 | $0.00638 |
Grade E, and why
acp.package-create scanned grade E with 3 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- Or manually install ACP: `curl -fsSL https://raw.githubusercontent.com/prmichaelsen/agent-context-protocol/mainline/agent/scripts/acp.install.sh | bash` Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Or remove existing directory: `rm -rf acp-{name}` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Or manually install ACP: `curl -fsSL https://raw.githubusercontent.com/prmichaelsen/agent-context-protocol/mainline/agent/scripts/acp.install.sh | bash` The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 910 lines · 0 tokens per session scan E c8216814affb
acp.package-create is a command published in the GitHub repository prmichaelsen/remember-mcp (1 stars, last pushed 5mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 6,377 tokens. A static security scan graded it E with 3 findings (downloads and executes remote code, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
onplana-connect
Connect Claude Code to the Onplana MCP server, then verify it works.
mega-plan
Generate a mega-plan for project-level multi-feature orchestration. Breaks a complex project into parallel features with dependencies. Usage: /plan-cascade:mega-plan [--flow ] [--tdd ] [--confirm] [--no-confirm] [--spec ] [--first-principles] [--max-questions N] [design-doc-path].
mega-status
Show detailed status of mega-plan execution including feature progress and story completion. Usage: /plan-cascade:mega-status.
improve
Run ONE iteration of the continuous-improvement loop — pick the highest-value backlog item, implement it, verify end-to-end, commit.
goal
Drain a beads epic to completion unattended — dedicated branch, one bead per commit, reviewer-gated, bounded loop.
speckit.taskstoissues
Convert existing tasks into actionable, dependency-ordered GitHub issues for the feature based on available design artifacts.