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/strvmarv/total-recall/compactgit clone --depth 1 https://github.com/strvmarv/total-recallWhat 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 | $0.00256 |
| Opus 5 | $0.00000 | $0.00128 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
compact 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
/total-recall:commands compact
Compact the hot tier into the warm tier. Two modes:
Default — model-driven (LLM quality)
- Call the total-recall
session_contextMCP tool to get current hot tier entries (pinned-tier entries never appear — immune to compaction by construction). - If there are 2+ hot entries, launch the
total-recall:compactoragent with the entries as input, then execute its decisions:carry_forward: leave in hot tier (no action)promotewithsummary: callmemory_storewith the summary in warm tier, thenmemory_deletethe source entriespromotewithoutsummary: callmemory_promotefor each entry to warm tierdiscard: callmemory_deletewith the reason
- Report a one-line summary of what was promoted/discarded.
--fast — heuristic (no LLM)
Run the deterministic decay-based sweep instead: invoke total-recall compact --run
(promotes hot entries whose decay score falls below compaction.warm_threshold).
Use when you want a quick, cheap sweep without LLM summarization.
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 · 20 lines · 0 tokens per session scan A fe0d9ce1d0f7
compact is a command published in the GitHub repository strvmarv/total-recall (14 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 256 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 2026-08-30.
Other commands, from other repositories
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review-branch
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dispatcher
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docs-review
Phase 4 of documenting-projects: Quality gate with 8 measurable criteria and iteration. Triggers: '/docs-review', invoked by documenting-projects orchestrator.
standup
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