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 rlespinasse/agent-skills --skill french-languagegit clone --depth 1 https://github.com/rlespinasse/agent-skillsWrote 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/rlespinasse/agent-skills/french-language)<a href="https://agentmods.dev/skills/rlespinasse/agent-skills/french-language"><img src="https://agentmods.dev/badge/skills/rlespinasse/agent-skills/french-language/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/rlespinasse/agent-skills/french-language"><img src="https://agentmods.dev/badge/skills/rlespinasse/agent-skills/french-language.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 93 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00109 | $0.02880 |
| Opus 5.5 | $0.00044 | $0.01152 |
| Sonnet 5.5 | $0.00022 | $0.00576 |
| Haiku 4.5 | $0.00011 | $0.00288 |
Grade A, and why
french-language 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enforce French Language Conventions
You are helping the user ensure that all project content is written in proper French, with correct accents, grammar, and typographic conventions.
This skill applies to all generated or edited files that contain human-readable French text, not just documentation.
When to Use
- The project's CLAUDE.md or documentation specifies French as the primary language
- The user asks to write, review, or fix French content
- The user mentions accents, orthographe, typographie, or langue française
- Files contain French text with missing or incorrect accents
- Generating any file (SVG, Mermaid, PlantUML, Draw.io, HTML, CSV, JSON, YAML, etc.) in a project configured for French
Pre-flight Checks
Before making changes, always:
- Check the project's language configuration — look for CLAUDE.md, README, or other configuration files that specify the project language
- Identify which files contain French text — scan all file types, not just markdown
- Ask the user before making bulk changes — especially when fixing accents across many files
French Writing Rules
Accents and Special Characters
French accents are mandatory, not optional. Missing accents change word meaning and are considered spelling errors.
| Character | Name | Examples |
|---|---|---|
| é | accent aigu | réalisateur, qualité, équipe, périmètre |
| è | accent grave | stratège, modèle, problème, critère |
| ê | accent circonflexe | être, forêt, fête, tête |
| à | a accent grave | à, déjà, voilà |
| ù | u accent grave | où |
| ô | o accent circonflexe | contrôle, rôle, clôture, binôme |
| î | i accent circonflexe | maître, connaître |
| ç | cédille | ça, français, leçon, reçu |
| ë, ï, ü | tréma | Noël, naïf, ambiguïté |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +9 tokens per session 068d0e632e10
- 1mo ago Changed · +30 lines fc8f3f6fc078
- 1mo ago First seen · 234 lines · 100 tokens per session scan A bf1cf0163e7f
french-language is a skill published in the GitHub repository rlespinasse/agent-skills (13 stars, last pushed 2d ago), licensed MIT. It adds 109 tokens to every session and 2,880 once invoked, about $0.0004 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 2026-08-31.
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