Spaced RepetitionSAFE
Overview
An agent skill published by revfactory.
459e1bb8f76eOBSERVED · 2026-10-12What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: spaced-repetition description: "A specialized skill for designing vocabulary and grammar review schedules using Spaced Repetition algorithms. Used by the review-coach agent to calculate optimal review intervals based on the Ebbinghaus forgetting curve and maximize long-term memory conversion rates. Automatically applied in contexts such as 'spaced repetition', 'Ebbinghaus', 'review schedule', 'forgetting curve', 'SRS', 'Anki method'. However, external app integration (Anki/Quizlet) and real-time notification system construction are outside the scope of this skill." --- # Spaced Repetition — Spaced Repetition Algorithm Tool A specialized skill that enhances the review-coach agent's review design capabilities. ## Target Agent - **review-coach** — Review scheduling, weakness reinforcement, long-term memory retention ## Ebbinghaus Forgetting Curve-Based Review Intervals ### Base Review Intervals (SM-2 Algorithm Variant) | Review Round | Interval | Retention Target | Action | |-------------|----------|-----------------|--------| | 1st review | 1 day after learning | 80%+ | Review all items | | 2nd review | 3 days later | 75%+ | Focus on items missed in 1st review | | 3rd review | 7 days later | 70%+ | Items missed in 2nd review + full sample | | 4th review | 14 days later | 70%+ | Weak items + random sample | | 5th review | 30 days later | 65%+ | Long-term memory confirmation test | | 6th+ | 60, 120 days... | 60%+ | Maintenance review | ### Difficulty-Based Interval Adjustment Dynamically adjust intervals based on learner response quality: | Response Quality | Score | Interval Factor | Next Interval | |-----------------|-------|----------------|---------------| | Perfect recall (instant) | 5 | x 2.5 | Significantly extended | | Correct (slight hesitation) | 4 | x 2.0 | Extended | | Correct (much hesitation) | 3 | x 1.5 | Slightly extended | | Incorrect (recalled after seeing) | 2 | x 1.0 | Maintained | | Incorrect (could not recall) | 1 | x 0.5 | Shortened | | Complete blank | 0 | Reset | Start over | ### Interval Calculation Formula ``` next_interval = previous_interval x EF (Ease Factor) EF update: EF' = EF + (0.1 - (5-q) x (0.08 + (5-q) x 0.02)) (q = response quality 0-5) EF minimum: 1.3 (prevents intervals from becoming too short) ``` ## Vocabulary Category-Specific Review Strategies | Category | Optimal Technique | Review Frequency | |----------|------------------|-----------------| | High-frequency basic vocabulary | Repeated exposure in context | Daily natural exposure | | Medium-frequency practical vocabulary | Flashcards + example sentences | SM-2 algorithm applied | | Low-frequency specialized vocabulary | Thematic cluster learning | Focus during topic study | | Idiomatic expressions | Situational role-play | 2-3 times per week | | Grammar patterns | Transformation drills + writing | SM-2 + weekly writing | ## Review Session Design Principles ### Session Structure (20-minute baseline) ``` [Start] Warm-up (2 min) -> Quick recall of 3 key items from previous session [Core] Spaced Repetition Review (12 min) -> 20-30 due cards -> Harder cards first (Interleaving) [Reinforcement] Weakness Focus (4 min) -> Re-learn items missed 2+ consecutive times -> Apply association/etymology/imagery mnemonics [Wrap-up] Self-Assessment (2 min) -> Self-rate today's session difficulty -> Preview next session ``` ### Optimal Study Volume | Learner Level | New Items/Day | Review Items/Day | Total Time | |--------------|--------------|-----------------|-----------| | Beginner (A1) | 5-8 | 15-25 | 15-20 min | | Elementary (A2) | 8-12 | 25-40 | 20-30 min | | Intermediate (B1-B2) | 10-15 | 30-50 | 25-35 min | | Advanced (C1+) | 5-10 | 20-30 | 20-25 min | ## Memory Enhancement Techniques (Applied During Review) | Technique | Description | When to Apply | |-----------|-------------|--------------| | Retrieval practice | Attempt to recall without hints first | Every review | | Elaboration | Explain why this is the correct answer | Items answered correctly 2+ times | | Interleaving | Mix different item types during review | Review session ordering | | Dual coding | Text + image + audio | During initial learning | | Self-reference effect | Connect to personal experience | Creating vocabulary example sentences |
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
459e1bb8f76efull audit observations/trust-audit/skill/revfactory__spaced-repetition.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | 459e1bb8f76e | SAFE | B | 89 | first audit |
Questions
Is Spaced Repetition safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Spaced Repetition access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (459e1bb8f76e), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.