Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add m98/fluent/plugin install fluentWrote 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/m98/fluent/fluent-sm2-calculator)<a href="https://agentmods.dev/skills/m98/fluent/fluent-sm2-calculator"><img src="https://agentmods.dev/badge/skills/m98/fluent/fluent-sm2-calculator.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 | $0.00081 | $0.01303 |
| Opus 5 | $0.00041 | $0.00651 |
| Sonnet 5 | $0.00016 | $0.00261 |
| Haiku 4.5 | $0.00008 | $0.00130 |
Grade A, and why
fluent-sm2-calculator 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 6d 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SM-2 Calculator
Overview
Fluent uses SM-2 (SuperMemo 2) to decide when the learner next sees an item. This skill is the single source of truth for the algorithm. Every practice skill updates <data_dir>/spaced-repetition.json (where <data_dir> is resolved by fluent_paths.data_dir()) through these rules after each answered question.
When to Use
Load this skill whenever the tutor:
- Grades a review-queue item and must compute its next due date.
- Maps a 0-10 score to an SM-2 quality.
- Updates
easiness_factor,interval_days,repetitions, ormastery_levelon a spaced-repetition item. - Decides which queue (
today/tomorrow/this_week/later) to place an item in.
Skip this skill when the fluent-db-updater skill is already being used — the update-db.py script runs SM-2 internally.
Instructions
1. Convert score to quality
| Score | Quality | Meaning |
|---|---|---|
| 10/10 | 5 | Perfect, instant recall |
| 8-9 | 4 | Correct after hesitation |
| 6-7 | 3 | Correct with difficulty |
| 4-5 | 2 | Incorrect but remembered when shown |
| 2-3 | 1 | Incorrect, familiar |
| 0-1 | 0 | Complete blackout |
Rule: quality = floor(score / 2).
2. Update interval
if quality >= 3: # correct
if repetitions == 0:
interval = 1
elif repetitions == 1:
interval = 6
else:
interval = round(previous_interval * easiness_factor)
repetitions += 1
else: # incorrect
interval = 1
repetitions = 0
3. Update easiness factor
Apply after every answer:
EF_new = EF + (0.1 - (5 - quality) * (0.08 + (5 - quality) * 0.02))
EF_new = max(1.3, EF_new)
4. Update mastery level
Track consecutive_correct and consecutive_incorrect per item:
if consecutive_correct >= 5:
mastery_level = min(5, mastery_level + 1)
consecutive_correct = 0
elif consecutive_incorrect >= 3:
mastery_level = max(0, mastery_level - 1)
consecutive_incorrect = 0
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.
- 6d ago First seen · 134 lines · 81 tokens per session scan A d615ad4e7fb6
fluent-sm2-calculator is a skill published in the GitHub repository m98/fluent (393 stars, last pushed 2mo ago), licensed MIT. It adds 81 tokens to every session and 1,303 once invoked, about $0.0004 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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