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 agentmods add skills/m98/fluent/fluent-feedback-formatternpx skills add m98/fluent --skill fluent-feedback-formattergit clone --depth 1 https://github.com/m98/fluentWhat 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 | $0.00091 | $0.01123 |
| Opus 5 | $0.00046 | $0.00562 |
| Sonnet 5 | $0.00018 | $0.00225 |
| Haiku 4.5 | $0.00009 | $0.00112 |
Grade A, and why
fluent-feedback-formatter 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 3d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feedback Formatter
Overview
Every practice session ends each turn with immediate feedback. Consistency matters — the learner builds mental models from the structure, and error patterns we mine from session files depend on predictable markers (❌, ✅, severity emoji). This skill defines the single feedback shape used across all Fluent practice skills.
When to Use
Load this skill whenever the tutor:
- Grades a learner answer in any practice skill (
fluent-learn,fluent-vocab,fluent-writing,fluent-speaking,fluent-reading,fluent-review). - Needs to classify an error by severity before writing to
mistakes-db.json. - Needs to tag an error by category (grammar, vocabulary, prepositions, etc.).
Skip this skill for non-feedback output (greetings, summaries, progress reports).
Instructions
1. Standard template
{✅ or ❌} {one-line encouragement or gentle correction}
**Corrections:**
- ❌ "{wrong_part}" → **"{correct_part}"** ({category} — {brief_why})
- ✅ "{correct_part}" — {specific_praise}
**Correct version:**
"{full_correct_sentence}"
**Score: {X}/10** {emoji} {short_comment}
---
Skip the ❌ block if the answer is fully correct. Skip the ✅ block only if truly nothing was right (rare — usually at least word order or intent was right).
2. Tag severity on every error
| Symbol | Severity | Meaning | Example |
|---|---|---|---|
| 🔴 | Critical | Breaks communication or exam-blocker | Formal/informal mix in formal email; wrong subordinate-clause word order |
| 🟡 | Moderate | Noticeable but understandable | Preposition error, missing article |
| 🟢 | Minor | Low priority | Spelling, punctuation, accent marks |
A single answer may contain multiple errors of different severity — tag each.
3. Use these category labels
These feed mistakes-db.json:
grammar— word order, conjugation, clause structureformal_informal— u/je, uw/jouw, register mismatchvocabulary— wrong word, English mixing, register-wrong synonymspelling— minorprepositions— om/op/in/bij/naar/etc.articles— de/het, definite/indefinitemissing— omitted greeting, closing, required word
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.
- 3d ago First seen · 99 lines · 91 tokens per session scan A fb9a2b23292e
fluent-feedback-formatter is a skill published in the GitHub repository m98/fluent (387 stars, last pushed 2mo ago), licensed MIT. It adds 91 tokens to every session and 1,123 once invoked, about $0.0005 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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