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/pmikutel/directed-memory-bankWrote 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/pmikutel/directed-memory-bank/dmb-status)<a href="https://agentmods.dev/commands/pmikutel/directed-memory-bank/dmb-status"><img src="https://agentmods.dev/badge/commands/pmikutel/directed-memory-bank/dmb-status.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 | $0.00000 | $0.00120 |
| Opus 5 | $0.00000 | $0.00060 |
| Sonnet 5 | $0.00000 | $0.00024 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
dmb-status 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 8d 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
Show DMB status for this project.
- Read
memory-bank/_adoption.mdand list each row with itsStatus(filled / partial / postponed / skipped / not_started). One line per row. - List the files present under
memory-bank/tasks/work/with theirstatus:andbranch:frontmatter, one line per file. Note "empty" if the directory has none. - Count entries in
memory-bank/tasks/log/and report the most recent five filenames.
Report concisely. No prose summary — just the three lists.
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.
- 8d ago First seen · 8 lines · 0 tokens per session scan A 5a22a8c47744
dmb-status is a command published in the GitHub repository pmikutel/directed-memory-bank (5 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 120 tokens. 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
copy-ai-context
Export converged workspace context to the clipboard for any AI chat.
setup-mcp-claude-code
Build and register the Contorium MCP server for Claude Code or Cursor Agent.
start-fresh-session
Start a fresh Contorium AI context session after a major task or workspace shift.
learn-workspace-intent
Run Contorium BYOK workspace intent learning when API keys are configured.
update-memory
Check and update CLAUDE.md memory based on changes to skills, commands, agents, and hooks.
compact-prep
Ask the agent to prepare for conversation compaction by updating any relevant state and providing guidance for the compaction agent and to kick off the session there after.