Claude With Skills is a progressive course that teaches developers to create reusable, portable Agent Skills for Claude Code, from basic SKILL.md files to advanced automation and plugin packaging. It is intended for developers who want repeatable instructions and workflows instead of repeatedly pasting the same guidance. The catalogue contains the course's skills, agents, and instruction.
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 davila7/claude-with-skills --skill safe-deploygit clone --depth 1 https://github.com/davila7/claude-with-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/davila7/claude-with-skills/safe-deploy)<a href="https://agentmods.dev/skills/davila7/claude-with-skills/safe-deploy"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/safe-deploy/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/davila7/claude-with-skills/safe-deploy"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/safe-deploy.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 | $0.00019 | $0.00550 |
| Opus 5 | $0.00010 | $0.00275 |
| Sonnet 5 | $0.00004 | $0.00110 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
safe-deploy 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 10d 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
Pre-flight checks
!git status --short
!git log --oneline -5
Deploy to: $ARGUMENTS
If $ARGUMENTS is empty, stop immediately. Report: "No environment specified. Invoke as: /safe-deploy (e.g., /safe-deploy staging or /safe-deploy production)."
Step 1: Abort if there are uncommitted changes
Check the git status output above. If it shows any modified, untracked, or staged files, stop here.
Report: "Deploy aborted: the working tree has uncommitted changes. Commit or stash them before deploying to $ARGUMENTS."
Do not proceed past this step if there are uncommitted changes.
Step 2: Run the test suite
Run:
npm test
If any test fails, stop here. Report the failing test names and do not proceed.
Step 3: Build the project
Run:
npm run build
If the build fails, report the full error output and stop. Do not proceed.
Step 4: Create a deployment tag
Construct a tag name:
deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
Use the current UTC date and time. For example, a production deploy on 2026-05-13 at 14:32:07 UTC produces: deploy-production-20260513-143207.
Run:
git tag deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
Step 5: Push the tag
Run:
git push origin deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
If the push fails, report the error. Do not retry automatically.
Step 6: Report success
Print a final summary:
Deploy initiated.
Environment: $ARGUMENTS
Tag: deploy-$ARGUMENTS-<YYYYMMDD>-<HHMMSS>
Commit: <git rev-parse HEAD output>
Time: <YYYY-MM-DD HH:MM:SS UTC>
If any step failed, do not print this summary. The failure report for the failing step is the final output.
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.
- 10d ago First seen · 84 lines · 19 tokens per session scan A 700d4e668f17
safe-deploy is a skill published in the GitHub repository davila7/claude-with-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 550 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 2026-08-30.
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