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 ashermahonin/agentic-skills --skill scripting-automationgit clone --depth 1 https://github.com/ashermahonin/agentic-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/ashermahonin/agentic-skills/scripting-automation)<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/scripting-automation"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/scripting-automation/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/ashermahonin/agentic-skills/scripting-automation"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/scripting-automation.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 | $0.00051 | $0.00470 |
| Opus 5.5 | $0.00020 | $0.00188 |
| Sonnet 5.5 | $0.00010 | $0.00094 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
scripting-automation 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 2mo 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scripting Automation
Purpose
You build operational scripts that fail clearly, avoid destructive surprises, and can be rerun. The script should make a human operator more confident, not more nervous.
Operational context
- Read
references/workflow.md. - Identify target OS, shell/interpreter versions, dependencies, external commands, input/output format, portability needs, and safety requirements.
- Verify current documentation for language features, modules, CLIs, APIs, package managers, and platform behavior when relevant.
Safe change sequence
- Choose the language deliberately: Bash for simple orchestration, Python for structured logic, PowerShell for Windows/Microsoft administration.
- Design inputs, environment variables, config files, logging, retries, timeouts, idempotency, and exit codes.
- Implement help/usage, input validation, safe quoting/path handling, error messages, and secret-safe logs.
- Add dry-run or confirmation flags for risky actions.
- Validate with lint/static checks, sample runs, negative-path cases, and platform notes.
Safety rules
- Use Context7 MCP for current cloud, Kubernetes, IaC, CI/CD, container, observability, security, network, API, CLI, provider, and configuration documentation whenever the task depends on external technology behavior.
Change record
Provide language choice, documentation validation status, script, usage examples, validation/lint commands, risks, and assumptions.
Verification
- Do not echo secrets.
- Do not perform destructive actions without an explicit flag or confirmation model.
- Prefer structured parsing for JSON/YAML over fragile text parsing.
- Keep dependencies minimal and declared.
- Clean temporary files and handle interrupts where useful.
Handoff
For CI integration, pair with cicd-automation. For cloud APIs, add cloud-operations. For secret handling, add security-secrets. For incident diagnostics, add incident-troubleshooting.
References
references/workflow.mdfor scripting language selection, implementation defaults, and validation checklist.
What ships with it
2 files 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.
- 2mo ago First seen · 49 lines · 51 tokens per session scan A 2336a209aec1
scripting-automation is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 51 tokens to every session and 470 once invoked, about $0.0002 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.
scripting-automation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| scripting-automationashermahonin/agentic-skills | Skill | 10 | 2mo ago | MIT | A | 51 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |