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/arnabdeypolimi/claude_code_setup/hardennpx skills add arnabdeypolimi/claude_code_setup --skill hardengit clone --depth 1 https://github.com/arnabdeypolimi/claude_code_setupWrote 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/arnabdeypolimi/claude_code_setup/harden)<a href="https://agentmods.dev/skills/arnabdeypolimi/claude_code_setup/harden"><img src="https://agentmods.dev/badge/skills/arnabdeypolimi/claude_code_setup/harden.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 | $0.00062 | $0.02189 |
| Opus 5 | $0.00031 | $0.01094 |
| Sonnet 5 | $0.00012 | $0.00438 |
| Haiku 4.5 | $0.00006 | $0.00219 |
Grade A, and why
harden 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 4d 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.
This is a copy
94% identical to harden — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 354 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strengthen interfaces against edge cases, errors, internationalization issues, and real-world usage scenarios that break idealized designs.
Assess Hardening Needs
Identify weaknesses and edge cases:
-
Test with extreme inputs:
- Very long text (names, descriptions, titles)
- Very short text (empty, single character)
- Special characters (emoji, RTL text, accents)
- Large numbers (millions, billions)
- Many items (1000+ list items, 50+ options)
- No data (empty states)
-
Test error scenarios:
- Network failures (offline, slow, timeout)
- API errors (400, 401, 403, 404, 500)
- Validation errors
- Permission errors
- Rate limiting
- Concurrent operations
-
Test internationalization:
- Long translations (German is often 30% longer than English)
- RTL languages (Arabic, Hebrew)
- Character sets (Chinese, Japanese, Korean, emoji)
- Date/time formats
- Number formats (1,000 vs 1.000)
- Currency symbols
CRITICAL: Designs that only work with perfect data aren't production-ready. Harden against reality.
Hardening Dimensions
Systematically improve resilience:
Text Overflow & Wrapping
Long text handling:
/* Single line with ellipsis */
.truncate {
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
/* Multi-line with clamp */
.line-clamp {
display: -webkit-box;
-webkit-line-clamp: 3;
-webkit-box-orient: vertical;
overflow: hidden;
}
/* Allow wrapping */
.wrap {
word-wrap: break-word;
overflow-wrap: break-word;
hyphens: auto;
}
Flex/Grid overflow:
/* Prevent flex items from overflowing */
.flex-item {
min-width: 0; /* Allow shrinking below content size */
overflow: hidden;
}
/* Prevent grid items from overflowing */
.grid-item {
min-width: 0;
min-height: 0;
}
Responsive text sizing:
- Use
clamp()for fluid typography - Set minimum readable sizes (14px on mobile)
- Test text scaling (zoom to 200%)
- Ensure containers expand with text
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.
- 4d ago First seen · 354 lines · 62 tokens per session scan A 3b771a43bff6
harden is a skill published in the GitHub repository arnabdeypolimi/claude_code_setup (4 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 2,189 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to harden, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
translate-craft
Professional translation and localization for 8 languages (ES, JA, FR, DE, PT, ZH, KO, AR). Covers tone matrix, formality levels, i18n patterns (react-intl, i18next, ICU), RTL layout, cultural adaptation, and locale formatting. Use when user asks to translate text, localize an app, adapt tone, review translations, add…
planning-with-files-ar
تخطيط مستمر قائم على الملفات لعمل وكلاء الذكاء الاصطناعي متعدد الخطوات. يحتفظ بملفات taskplan.md و findings.md و progress.md على القرص، وتحقن خطافات دورة الحياة سياق التخطيط المحدد للمشروع. تقرأ الاستعادة التلقائية ملفات تخطيط المشروع فقط. يمكن للأمر الصريح session-catchup.py --metadata فحص بيانات وصفية لجلسات الوكيل…
skill-release-gate
Evaluate an Agent Skill bundle for structural integrity, trigger quality, artifact improvement, script correctness, safety, installed-tree integrity, and target-host portability before release.
kl-consistency-test
Write, calibrate, and debug the prefill-vs-decode logprob (KL) consistency tests in sglang -- the two independent conditions a zero requires (every operator batch-invariant, and the two paths computing the same function), which helper separates them, how to pick a threshold once they hold, and how to localize a…
i18n-localization
Internationalization and localization patterns. Detecting hardcoded strings, managing translations, locale files, RTL support.
peon-ping-log
Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".