hone:automation-opportunities

hone:automation-opportunities is a skill for Claude Code from ckorhonen/hone-skills. It costs 69 tokens per session (1,531 once invoked), scanned A, original, MIT.

A repository audit that finds manual work which could be automated, such as deployment steps, setup commands, testing procedures, and repetitive Git workflows.

In plain words
What is it for?
Use it to find candidates for scripts, CI checks, deployment automation, and files that should be stored in source control.
Why use it?
It helps reveal time-consuming instructions, undocumented team knowledge, and missing scripts or configuration files that make work harder to repeat.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hone-skills plugin — 8 skills shipped together

Good fit Use it to find candidates for scripts, CI checks, deployment automation, and files that should be stored in source control.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ckorhonen/hone-skills/automation-opportunities
Install

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.

Any agent
npx skills add ckorhonen/hone-skills --skill automation-opportunities
Clone the repo
git clone --depth 1 https://github.com/ckorhonen/hone-skills

Made for: Claude Code.

Or install hone-skills, the plugin that ships this one along with the rest of its 8 skills.

Wrote 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.

agentmods badge for hone:automation-opportunities

README.md
[![agentmods](https://agentmods.dev/badge/skills/ckorhonen/hone-skills/automation-opportunities/github.svg)](https://agentmods.dev/skills/ckorhonen/hone-skills/automation-opportunities)
Your own site
<a href="https://agentmods.dev/skills/ckorhonen/hone-skills/automation-opportunities"><img src="https://agentmods.dev/badge/skills/ckorhonen/hone-skills/automation-opportunities/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.

agentmods 80×15 button for hone:automation-opportunities

Your own site · 80×15
<a href="https://agentmods.dev/skills/ckorhonen/hone-skills/automation-opportunities"><img src="https://agentmods.dev/badge/skills/ckorhonen/hone-skills/automation-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,531 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.01531
Opus 5 $0.00034 $0.00766
Sonnet 5 $0.00014 $0.00306
Haiku 4.5 $0.00007 $0.00153

Measured 12d ago against content hash d6e062f4f80e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hone:automation-opportunities 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 12d 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.

skills/automation-opportunities/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automation Opportunities

What This Skill Does

Audits the repository for manual processes, undocumented workflows, and artifacts that should be in source control. Produces a prioritized list of automation opportunities with estimated effort and impact.

Detection categories:

  • Manual deploy steps: multi-step deployment instructions in READMEs, wikis, or runbooks that could be a single script or CI pipeline.
  • Setup scripts missing: setup instructions that list manual commands instead of providing a bootstrap script.
  • Repetitive git workflows: branching, tagging, or release processes described as manual steps.
  • Manual testing procedures: test plans or checklists that could be automated test suites or CI checks.
  • Tribal knowledge in comments: comments explaining "how to do X" that should be executable scripts or documented runbooks.
  • Missing from source control: referenced config files, env templates, tool configs, database migrations, or infrastructure definitions that are mentioned but not checked in.

When To Use

  • Monthly scheduled audit to surface high-ROI automation.
  • When onboarding is slow and you suspect undocumented manual steps.
  • After an incident caused by a manual process failure.
  • When planning a DevEx improvement sprint.

Do Not Use

  • For code quality, style, or naming audits (use other hone skills).
  • For security scanning.
  • For performance analysis.
  • As a replacement for a full DevOps maturity assessment.

Inputs To Confirm

  1. Scope -- which directories and doc files to scan (default: entire repo including docs, READMEs, CI configs, and Makefiles).
  2. Focus areas -- whether to prioritize deploy automation, setup automation, or all categories (default: all).
  3. Team size context -- rough team size to help estimate automation ROI (default: not specified, omit ROI estimates).

Instructions

  1. Identify the repository root and enumerate all files, including documentation (README, CONTRIBUTING, docs/), CI/CD configs (.github/workflows, .gitlab-ci.yml, Jenkinsfile, etc.), scripts directories, Makefiles, Dockerfiles, and package manager configs.
  2. Manual deploy steps: scan READMEs, docs, and runbooks for deployment instructions. Flag when:
    • There are 3+ sequential manual shell commands for deploying.
    • Instructions include "SSH into" or "run on the server" steps.
    • The deploy process references manual environment variable setting, config file copying, or service restarts.
    • There is no CI/CD pipeline config, or the pipeline does not cover the documented deploy steps.
  3. Setup scripts missing: scan for setup or getting-started instructions. Flag when:
    • README lists 5+ manual commands to get the project running.
    • There is no setup.sh, bootstrap, make setup, init script, or equivalent.
    • Instructions reference manual tool installation without a version manager or Dockerfile.
  4. Repetitive git workflows: scan for branching, release, or versioning documentation. Flag when:
    • Release steps involve manual version bumping, changelog editing, and tag creation.
    • There is no release automation (semantic-release, standard-version, etc.).
    • Branch naming conventions are documented but not enforced by hooks or CI.
  5. Manual testing procedures: scan for test plans, QA checklists, or manual verification steps. Flag when:
    • There are documented manual test cases that could be automated.
    • README or CONTRIBUTING mentions manual browser testing without an E2E test suite.
    • There are "before deploying, verify that..." checklists.
  6. Tribal knowledge in comments: scan source files for comments that describe operational procedures:
    • "To regenerate this file, run..."
    • "This must be updated whenever..."
    • "Ask [person] about how to..."
    • "The trick is to..." Flag these as candidates for executable scripts or runbooks.
  7. Missing from source control: check for references to files or configs that should exist but do not:
    • .env.example or .env.template referenced but missing.
    • Config files mentioned in docs but not in the repo.
    • Infrastructure-as-code references without corresponding files.
    • Database migration or seed files mentioned but absent.
    • Tool config files (.editorconfig, linter configs) mentioned in CONTRIBUTING but not present.
  8. For each finding, record:
    • Category (one of the six above).
    • Location: file path and line number or section reference.
    • Description of the manual process or missing artifact.
    • Impact estimate: high (repeated frequently, error-prone, or blocks onboarding), medium (done occasionally, moderate risk), low (rare but worth automating eventually).
    • Effort estimate: small (< 1 day), medium (1-3 days), large (> 3 days).
    • Suggested automation approach (e.g., "add a Makefile target", "create a GitHub Action", "write a bootstrap script").
  9. Produce the output report.

Read the full file on GitHub · 158 lines

Changes

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.

  1. 12d ago First seen · 158 lines · 69 tokens per session scan A d6e062f4f80e

Subscribe to this mod's changes

hone:automation-opportunities is a skill published in the GitHub repository ckorhonen/hone-skills (0 stars, last pushed 4mo ago), licensed MIT. It adds 69 tokens to every session and 1,531 once invoked, about $0.0003 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.

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