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/cdeust/ai-architect-mcp-codebase/sessiongit clone --depth 1 https://github.com/cdeust/ai-architect-mcp-codebaseWhat 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 | $0.00595 |
| Opus 5 | $0.00000 | $0.00298 |
| Sonnet 5 | $0.00000 | $0.00119 |
| Haiku 4.5 | $0.00000 | $0.00060 |
Grade A, and why
session 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.
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Session
Start, resume, or close a research session. Manages research context: question, hypotheses, evidence state, and lab notebook.
Instructions
-
Parse $ARGUMENTS for the subcommand:
session start "<research question>"— create a new sessionsession resume— load previous session statesession close— produce summary and archive
-
Start: Run
tools/research-session-manager.sh start "<question>". This createsresearch/, initializesNOTEBOOK.md, and writes.session.json. Confirm the research question back to the user and suggest formulating initial hypotheses withsession hypothesis add. -
Resume: Run
tools/research-session-manager.sh resume. Display the current research question, active hypotheses, and notebook entry count. If Cortex is available, callcortex:recallwith the research question to load prior context. Summarize what was found and suggest next steps. -
Close: Run
tools/research-session-manager.sh statusfirst to show final state. Then runtools/research-session-manager.sh close. Produce a structured summary:- Research question
- Hypotheses and their final status (confirmed / rejected / open)
- Key findings from notebook entries
- Open questions for future sessions
Persist per zetetic-team-subagents memory/contract.md §8b — two endpoints, never one flat remember:
- State (question status, hypothesis ledger, open questions):
memory-tool.sh rethink /memories/research/checkpoint.md "<structured summary>"(block verb; the sync drainer replicates it taggedmemory-replica). - Facts (confirmed/rejected hypotheses with evidence, lessons): one
cortex:rememberper self-contained finding withtags: ["archival", "research", "session-close"]ANDagent_topic: "research".
-
If no subcommand is given, run
tools/research-session-manager.sh statusto show current state. -
For hypothesis management, delegate to:
tools/research-session-manager.sh hypothesis add "<hypothesis>"tools/research-session-manager.sh hypothesis list
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 · 41 lines · 0 tokens per session scan A 407faa9e3931
session is a command published in the GitHub repository cdeust/ai-architect-mcp-codebase (4 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 595 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
brooks-audit
Run a Brooks-Lint architecture audit.
brooks-health
Run a Brooks-Lint codebase health dashboard across all four dimensions.
daily-standup
Génération Résumé Daily Stand-up.
deploy
Build, test, deploy with staged rollout.
fix-issue
Analyze and fix a reported bug or issue systematically.
simplify
Reduce complexity without changing behavior — code simplification.