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/paruff/ufawkesai/cli-uxnpx skills add paruff/uFawkesAI --skill cli-uxgit clone --depth 1 https://github.com/paruff/uFawkesAIWrote 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/paruff/ufawkesai/cli-ux)<a href="https://agentmods.dev/skills/paruff/ufawkesai/cli-ux"><img src="https://agentmods.dev/badge/skills/paruff/ufawkesai/cli-ux.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 | $0.00034 | $0.00465 |
| Opus 5 | $0.00017 | $0.00233 |
| Sonnet 5 | $0.00007 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
cli-ux 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 5d 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.
What it actually says
Skill: CLI UX Validation
Load trigger:
"load cli-ux skill"> DORA: Cap 3 (AI-Accessible Internal Data) Token cost: Low
Purpose
Ensure the Fawkes CLI provides a clean, intuitive developer experience.
Responsibilities
- Validate command naming
- Validate help text
- Validate error messages
- Validate interactive prompts
Inputs
- Fawkes CLI
Outputs
cli-ux.json
UX Rules
Command Naming
| Rule | Example |
|---|---|
| Verb-first | fawkes scaffold, fawkes validate |
| Kebab-case | fawkes scaffold service |
| Consistent | fawkes <verb> <noun> |
Help Text
- Every command has
--help - Examples included
- Required args documented
- Optional flags documented
Error Messages
- Actionable (tells user what to do)
- Includes error context
- No stack traces for user errors
- Color-coded (red for errors, yellow for warnings)
Interactive Prompts
- Defaults provided
- Confirmation for destructive actions
- Cancel option available
- Progress indicators for long operations
Output Format
{
"skill": "cli-ux",
"status": "pass | fail",
"checks": {
"command_naming": "pass",
"help_text": "pass",
"error_messages": "pass",
"interactive_prompts": "pass"
},
"issues": []
}
Success Criteria
- Clear, intuitive CLI UX
- All commands documented
- Errors are actionable
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.
- 5d ago First seen · 87 lines · 34 tokens per session scan A db93bf443ca3
cli-ux is a skill published in the GitHub repository paruff/uFawkesAI (2 stars, last pushed 13d ago), licensed MIT. It adds 34 tokens to every session and 465 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
planning-with-files
Persistent file-based planning for multi-step AI-agent work. Keeps taskplan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and…
infrastructure-llm
Skill for the LLM infrastructure module providing local Large Language Model integration via Ollama. Covers client initialization, prompt templates, output validation, manuscript review generation, conversation context, and CLI usage. Use when querying LLMs, generating manuscript reviews, validating LLM outputs, or…
infrastructure-tools
Skill for the tools module — discovery, validation, scope, and private-sidecar symlink sync for the top-level tools/ directory (executable entry points such as scripts, skills, and agents stored as passive manifests with scripts/ directories). Use when discovering tools (discovertools), resolving a tool path…
template-academic-paper
Template-native manuscript planning, outline, drafting, revision, formatting, citation check, and AI-use disclosure routing. USE WHEN the user asks to write, outline, revise, format, or prepare a paper inside the Research Project Template.
infrastructure-reference-citation
BibTeX read/write/convert that matches the syntax/semantics of projects/templates/templatecodeproject/manuscript/references.bib (consumed by Pandoc with --natbib -- see infrastructure/rendering/pdfcombinedrenderer.py). Provides BibEntry/BibDatabase models, parsebibfile/renderdatabase functions, papertobibentry…
infrastructure-search-literature
Paperclip-style multi-source literature search across arXiv, Crossref, local JSON corpora, and (opt-in) the Paperclip API. Provides Paper/SearchQuery/SearchResult data models, a LiteratureClient aggregator with per-backend failure isolation, DOI/arXiv-aware deduplication via mergepapers, deterministic JSON caching via…