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 skills add ArtemXTech/personal-os-skills --skill recallgit clone --depth 1 https://github.com/ArtemXTech/personal-os-skillsWrote 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/skills/artemxtech/personal-os-skills/recall)<a href="https://agentmods.dev/skills/artemxtech/personal-os-skills/recall"><img src="https://agentmods.dev/badge/skills/artemxtech/personal-os-skills/recall/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/skills/artemxtech/personal-os-skills/recall"><img src="https://agentmods.dev/badge/skills/artemxtech/personal-os-skills/recall.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 | $0.00126 | $0.00621 |
| Opus 5 | $0.00063 | $0.00311 |
| Sonnet 5 | $0.00025 | $0.00124 |
| Haiku 4.5 | $0.00013 | $0.00062 |
Grade A, and why
recall 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 12d 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recall Skill
Three modes: temporal (date-based session timeline), topic (BM25 search across QMD collections), and graph (interactive visualization of session-file relationships). Every recall ends with the One Thing - a concrete, highest-leverage next action synthesized from the results.
What It Does
- Temporal queries ("yesterday", "last week", "what was I doing"): Scans native Claude Code JSONL files by date. Shows a table of sessions with time, message count, and first message. Expand any session for conversation details.
- Topic queries ("QMD video", "authentication"): BM25 search across sessions, notes, and daily logs in QMD collections.
- Graph queries ("graph yesterday", "graph last week"): Generates an interactive HTML graph showing sessions as nodes connected to files they touched. Sessions colored by day, files colored by folder. Clusters reveal related work streams, shared files show cross-session dependencies.
- One Thing synthesis: After presenting results, synthesizes the single most impactful next action based on what has momentum, what's blocked, and what's closest to done. Not generic - specific and actionable.
No custom setup needed for temporal recall - every Claude Code user has JSONL files.
Auto-Indexing (Optional)
You can auto-index sessions into QMD on every session end via a Claude Code hook. See AGENTS.md for setup instructions.
Usage
/recall yesterday
/recall last week
/recall 2026-02-25
/recall QMD video
/recall authentication work
Graph mode - visualize session relationships over time:
/recall graph yesterday # what you touched today
/recall graph last week # week overview - find clusters
/recall graph this week # current week so far
/recall graph last 3 days # recent activity window
Graph options: --min-files 5 for cleaner graphs (only sessions touching 5+ files), --all-projects to scan beyond current vault.
Workflow
See workflows/recall.md for routing logic and step-by-step process.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 48 lines · 126 tokens per session scan A 6dc6bdec121e
recall is a skill published in the GitHub repository ArtemXTech/personal-os-skills (532 stars, last pushed 5mo ago), licensed MIT. It adds 126 tokens to every session and 621 once invoked, about $0.0006 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.
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