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/raiyanyahya/recallWrote 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/raiyanyahya/recall/recall-save)<a href="https://agentmods.dev/commands/raiyanyahya/recall/recall-save"><img src="https://agentmods.dev/badge/commands/raiyanyahya/recall/recall-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/raiyanyahya/recall/recall-save"><img src="https://agentmods.dev/badge/commands/raiyanyahya/recall/recall-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 | $0.00015 | $0.00249 |
| Opus 5 | $0.00008 | $0.00125 |
| Sonnet 5 | $0.00003 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
recall-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 9d 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
Generate (or overwrite) this project's .recall/context.md summary now, using
Recall's local offline summarizer (TF-IDF + TextRank — no LLM, no network).
Run with the bash tool, from the project root:
python3 "__RECALL_SCRIPTS__/make_context.py" --harness opencode || python "__RECALL_SCRIPTS__/make_context.py" --harness opencode
(The || python fallback covers Windows, where the interpreter is normally
python, not python3.)
Then report back:
- On success it prints the path it wrote and which summarizer path ran
(numpy-accelerated TextRank if numpy is present, otherwise the pure-Python
TextRank — both vendored, no install needed). Confirm the save and read back
the Goal and Where we left off lines from
.recall/context.md. - If it errored, surface the exact message.
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.
- 9d ago First seen · 27 lines · 15 tokens per session scan A 769883ff3c97
recall-save is a command published in the GitHub repository raiyanyahya/recall (750 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 249 once invoked, about $0.0001 per session on Opus 5. 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
ccc-context-budget
Visual context window budget analyzer — shows usage gauge, identifies bloat sources, recommends when to save session and compact.
ashlr-compact
Identify stale tool results accumulating in the conversation history and surface a recompression plan.
pin
Break checkpoint — status display, session log, optional MEMORY.md update.
atlas
Cross-project atlas with an adaptive render — ≤4 projects in scope get detail cards, more get one aligned digest line each, grouped by domain. Facets projects · sessions · memory · plans · specs · plugins · claude.md; a bare run renders all of them except plugins (opt-in, machine-global). --dir NAME|PATH anchors the…
save
Save the current session digest. Fans out across every writable memory tier per the house-map. Tier 0 always; Tier 1 if reachable; Tier 2 only if registered writable with auth. Each tier independent — failures degrade gracefully.
promote
Show what the tape is holding for your word, and promote the ones you approve into canon. Agent inference never becomes canon on its own — this is the door, and your hand is on it.