Borrowing it
Nothing to install: this file belongs to iamasters-academy/iamasters-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/iamasters-academy/iamasters-os/main/.claude/skills/recuerda/SKILL.mdgit clone --depth 1 https://github.com/iamasters-academy/iamasters-osWrote 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/iamasters-academy/iamasters-os/recuerda)<a href="https://agentmods.dev/skills/iamasters-academy/iamasters-os/recuerda"><img src="https://agentmods.dev/badge/skills/iamasters-academy/iamasters-os/recuerda/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/iamasters-academy/iamasters-os/recuerda"><img src="https://agentmods.dev/badge/skills/iamasters-academy/iamasters-os/recuerda.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 | $0.00836 |
| Opus 5.5 | $0.00050 | $0.00334 |
| Sonnet 5.5 | $0.00025 | $0.00167 |
| Haiku 4.5 | $0.00013 | $0.00084 |
Grade A, and why
recuerda 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 1mo 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 1mo ago First seen · 54 lines · 126 tokens per session scan A 2ab5562982c4
recuerda is a skill published in the GitHub repository iamasters-academy/iamasters-os (23 stars, last pushed 2mo ago), with no licence file. It adds 126 tokens to every session and 836 once invoked, about $0.0005 per session on Opus 5.5. 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 skills, from other repositories
memory-consolidation
Weekly synthesis of accumulated notes and memory optimization.
managing-obsidian-vaults
Interactive vault, wiki and Super-RAG setup in the main conversation. Use for "set up my wiki", "initialize the full knowledge stack" or combined RLM/vector/wiki setup. Manage Obsidian vaults and LLM wikis: initialize vaults, author Markdown and wikilinks, safely edit notes and Bases, create Canvas diagrams, traverse…
managing-rlm-cache
Interactive RLM setup wizard and summary-ledger maintenance in the main conversation. Initialize, search, distill, curate, audit and clean RLM summary ledgers. Use for RLM profiles, summary injection, keyword cache lookup, missing summaries, stale entries and batch distillation. Wiki concept summaries use…
memory-management
Zero-dependency, filesystem-native 3-Layer Memory Engine based on Google WikiSkill and Stanford graph-planning principles.
managing-adrs
Scaffolds, lists, searches, and manages Architecture Decision Records (ADRs) to record permanent institutional memory.
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn). Routes meetings to knowledge-meeting-ingest and short thoughts…