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 Totes-MickGOATs/opus-pocus --skill the-remembrallgit clone --depth 1 https://github.com/Totes-MickGOATs/opus-pocusWrote 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/totes-mickgoats/opus-pocus/the-remembrall)<a href="https://agentmods.dev/skills/totes-mickgoats/opus-pocus/the-remembrall"><img src="https://agentmods.dev/badge/skills/totes-mickgoats/opus-pocus/the-remembrall/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/totes-mickgoats/opus-pocus/the-remembrall"><img src="https://agentmods.dev/badge/skills/totes-mickgoats/opus-pocus/the-remembrall.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 | $0.00162 | $0.01558 |
| Opus 5 | $0.00081 | $0.00779 |
| Sonnet 5 | $0.00032 | $0.00312 |
| Haiku 4.5 | $0.00016 | $0.00156 |
Grade A, and why
the-remembrall 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 11d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🔮 The Remembrall
"It glows when you've forgotten something. You forgot to write it down."
Every other spell in this book reads the instruction layer and reasons about it. This one reads what actually happened. When a human corrects an agent, that correction is ground truth about a missing or broken instruction — and no amount of re-reading the memory file will produce it, because the file's whole defect is that the thing isn't in it. Corrections are the cheapest evidence a repo already has and never looks at.
The book's own doctrine says verify the artifact, never the call. The artifact here is the transcript.
What to scan
Session transcripts, in place. On Claude Code these are JSONL under
~/.claude/projects/<url-encoded-cwd>/*.jsonl — the path is undocumented and version-specific,
so confirm it before promising anything:
ls ~/.claude/projects/*/ 2>/dev/null | head
If the store is absent, unreadable, or holds fewer than a handful of sessions, this pass reports
? — could not verify. That is a distinct verdict from a clean one: no transcripts means nothing
was examined, not that nothing is wrong.
Alongside them, the resolved memory files and rule files — not to audit their prose, but to answer one question per finding: is this correction already written down somewhere?
Privacy. Transcripts are the user's own local data and often contain far more than this pass needs. Read them in place, quote the minimum that makes a finding checkable, and transmit nothing anywhere. If a correction cannot be quoted without dragging in unrelated content, describe it and cite the line rather than pasting it.
Anti-patterns to find
- Repeated correction. The human said substantially the same thing three or more times across sessions, and it appears in no instruction file. The rule already exists — it lives in the human's fingers instead of the repo. Its wording is already dictated by the corrections.
- Ignored instruction. A rule exists and the transcripts show the agent violating it anyway. This is the highest-value class and the most often misdiagnosed: the fix is almost never "state it more forcefully". Diagnose why first — the rule is unfindable (in a file nothing loads at the moment it matters), out-scoped (its trigger never matches the real situation), or outranked (a louder rule nearby wins every collision).
- Never-triggered instruction. A rule whose trigger situation has not occurred once in
recorded history. Untriggered text is untested text. Do not delete it here — hand it to
avada-verbosa, which names this candidate class and has no way to mine it. - Workflow fiction. Instructions describing a process the transcripts show nobody follows — a documented route that is always taken differently, a ritual described in the file and absent from every session. Either the workflow moved and the file didn't, or the workflow was aspirational from the start.
- Correction cluster with no rule. A topic the human keeps steering, in different words each time, with no single repeated phrase to match on. Harder to detect than class 1 and worth more: it is a missing rule whose scope the human has been drawing by hand, one session at a time.
- Correction reversal. The human corrected the agent toward X in one session and toward not-X later. Either the intent changed and the file records the old one, or two situations look alike and need distinguishing. Never propose a rule from one half of a reversal without saying the other half exists.
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.
- 11d ago First seen · 95 lines · 162 tokens per session scan A ec952797bbd4
the-remembrall is a skill published in the GitHub repository Totes-MickGOATs/opus-pocus (10 stars, last pushed 1mo ago), licensed MIT. It adds 162 tokens to every session and 1,558 once invoked, about $0.0008 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 2026-08-31.
Other skills, from other repositories
agents-md-improver
Audit and improve project-rules files (AGENTS.md, CLAUDE.md, .agents/instructions, local overrides) so the agent keeps accurate project context. Use when the user asks to check, audit, review, update, improve, or fix their AGENTS.md or CLAUDE.md, mentions "project rules maintenance" or "agent context optimization", or…
agents-md-revise
Capture learnings from the current session into the project-rules file (AGENTS.md, CLAUDE.md, or local override) so future sessions benefit. Use when the user says "revise the rules", "update AGENTS.md / CLAUDE.md with what we just learned", "save this to project memory", "remember this for next time", or at the end…
report
Writes the session final report to a file, then prints only the path and a one-line summary. Fires when the prompt contains "Report per memstack:report", and also when the prompt begins with a standing trigger configured through MEMSTACKREPORTONTASKPROMPTS or MEMSTACKREPORTTRIGGERS. Dormant otherwise.
token-optimization
Use when the user says 'token optimization', 'save tokens', 'context window', 'reduce tokens', 'token stack', or 'TokenStack', or asks about extending context window capacity. Covers TokenStack, the built-in compression proxy that shrinks Claude Code tool output before it reaches the Anthropic API. Do NOT use for…
compress
Use when the user says 'tokenstack', 'compression', 'token savings', 'proxy status', or asks about context window usage.
state
Use when the user says 'update state', 'project state', 'where was I', or at session start to load current context.