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/cdeust/ai-architect-mcp-codebaseWrote 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/cdeust/ai-architect-mcp-codebase/save)<a href="https://agentmods.dev/commands/cdeust/ai-architect-mcp-codebase/save"><img src="https://agentmods.dev/badge/commands/cdeust/ai-architect-mcp-codebase/save/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/cdeust/ai-architect-mcp-codebase/save"><img src="https://agentmods.dev/badge/commands/cdeust/ai-architect-mcp-codebase/save.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00231 |
| Opus 5.5 | $0.00000 | $0.00092 |
| Sonnet 5.5 | $0.00000 | $0.00046 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
save 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 1mo 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
Save Session Context
Save the current session's context for future recall.
Instructions
-
Summarize the current session: decisions made, files changed, open questions, difficulty-book state.
-
Session state is a block, not an archival fact (zetetic-team-subagents memory/contract.md §8b). Write the summary to the scoped working-state block via
memory-tool.sh rethink /memories/<scope>/checkpoint.md(usecreatefor the first checkpoint); the sync drainer replicates it to Cortex taggedmemory-replica. Do NOT callcortex:rememberfor the session summary itself. -
If the session produced self-contained WHY-level facts (decision + rationale, rejected approach + root cause, lesson), store each via
cortex:rememberwithtags: ["archival", "<project-name>", ...]ANDagent_topic. Be selective. -
Also save locally:
tools/session-store.sh save "<summary>" -
Confirm to the user what was saved (block path + number of archival entries, if any).
$ARGUMENTS
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.
- 1mo ago First seen · 18 lines · 0 tokens per session scan A fd95f1a37c35
save is a command published in the GitHub repository cdeust/ai-architect-mcp-codebase (7 stars, last pushed 6d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 231 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
genesis
Initialize cortex vault — set up config, vault structure, and rebuild index.
memory
Record a cross-harness memory entry (correction, gotcha, or project fact) into the current harness's per-repo memory store.
broadcast
Run broadcast on a distilled Raw — update related existing pages conversationally.
distill
Distill raw session records into refined Notes and Projects.
evolve
Save knowledge to the cortex vault (Notes or Projects) and update index.
learn
Force claude-smart to extract learnings from this session now.