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/sepehrbayat/SEPCCWrote 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/sepehrbayat/sepcc/recall)<a href="https://agentmods.dev/commands/sepehrbayat/sepcc/recall"><img src="https://agentmods.dev/badge/commands/sepehrbayat/sepcc/recall.svg" alt="Measured on agentmods" 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 | $0.00084 |
| Opus 5 | $0.00000 | $0.00042 |
| Sonnet 5 | $0.00000 | $0.00017 |
| Haiku 4.5 | $0.00000 | $0.00008 |
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 7d 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
Recall
Use this order:
- Read
.fcc/context/handoff.mdfor current state. - Read
CLAUDE.local.mdfor local-machine facts. - Use MemSearch for persistent cross-session memory when it is installed.
- Use Token Savior for code retrieval.
- Query FCC SQLite sidecar handles for raw terminal/tool output.
Do not replay old chat context into the prompt.
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.
- 7d ago First seen · 12 lines · 0 tokens per session scan A f7611bfc92a6
recall is a command published in the GitHub repository sepehrbayat/SEPCC (38 stars, last pushed 15d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 84 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
memory-why
Show why a memory recall returned what it did -- BM25 vs vector vs hybrid provenance.
context-stats
Display context window usage and token statistics.
memory-consent
Grant or revoke consent for session-end auto-memorize. Usage: /memory-consent yes|no|ask.
handoff
Create a handoff document for seamless session continuity.
capturar
Capturar ideas y notas sin interrumpir el flujo de trabajo. Usa cuando el usuario dice "capturar idea", "quick note", "nota rápida", "grab this", "take a note", "guardar idea", "note to self", "capture thought", "I should remember", "guardar esto". Guarda en memoria persistente sin romper el contexto actual.
learn
Learn Claude Code best practices and capture lessons into persistent memory.