Code2Prompt is a command-line tool that collects a codebase and formats it as one prompt containing source context, templates, and token information for a language model. Developers use it to prepare focused repository context for ChatGPT, Claude, coding agents, or programs that call an MCP server. The catalogue entries provide skills and an instruction for installing and using Code2Prompt to navigate repositories and gather scoped context.
Borrowing it
Nothing to install: this file belongs to mufeedvh/code2prompt. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mufeedvh/code2prompt/main/.agents/skills/verify-cli/SKILL.mdgit clone --depth 1 https://github.com/mufeedvh/code2promptWrote 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/mufeedvh/code2prompt/verify-cli)<a href="https://agentmods.dev/skills/mufeedvh/code2prompt/verify-cli"><img src="https://agentmods.dev/badge/skills/mufeedvh/code2prompt/verify-cli/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/mufeedvh/code2prompt/verify-cli"><img src="https://agentmods.dev/badge/skills/mufeedvh/code2prompt/verify-cli.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00015 | $0.00142 |
| Opus 5 | $0.00008 | $0.00071 |
| Sonnet 5 | $0.00003 | $0.00028 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
verify-cli 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 yesterday.
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
Verify CLI / TUI
Run from the repository root:
cargo test
cargo clippy --all-targets --all-features
For changed flags, configuration, or output behavior, also run or add a representative integration test and compare the CLI with:
cargo run --quiet -- --help
Check CLI-over-config precedence, stdout versus stderr, quiet mode, and that TUI state stays in the model/session rather than widgets. Use temporary fixtures, not personal repositories. Report failed checks explicitly.
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.
- yesterday First seen · 27 lines · 15 tokens per session scan A 4ae1424008b3
verify-cli is a skill published in the GitHub repository mufeedvh/code2prompt (7,634 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 142 once invoked, about $0.0001 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 2026-09-07.
Other skills, from other repositories
writing-bundler-tests
Guides writing bundler tests using itBundled/expectBundled in test/bundler/. Use when creating or modifying bundler, transpiler, or code transformation tests.
slowest-tests
Find the top-N slowest test files in CI from a recent BuildKite run, optionally posting the results to a Slack channel as a formatted table. Use when asked to find slow CI tests, "what's making CI slow", or to post a slow-test report to Slack.
writing-dev-server-tests
Guides writing HMR/Dev Server tests in test/bake/. Use when creating or modifying dev server, hot reloading, or bundling tests.
find-traces
Analyze OpenTelemetry distributed traces from Axiom. Use when investigating a trace ID, finding traces by criteria (errors, latency, service), or debugging distributed system issues.
detect-anomalies
Detect anomalies in Axiom datasets using statistical analysis. Use when looking for unusual patterns, volume spikes, outliers, or new error types in observability data.
explore-dataset
Explore an Axiom dataset to understand its schema, fields, volume, and patterns. Use when discovering a new dataset, investigating data structure, or understanding what data is available.