Agent skill

Blog Cost Charts

by akitaonrails in akitaonrails/my-skills

Generate dark-themed cost-vs-score bubble scatter charts and score/(costtime) value-ranking bar charts for a blog post comparing LLM benchmark results (or any dataset with a score/cost/time shape)…

No licenceAuto-check passedWriting & Content

Install Blog Cost Charts

skills CLI
$ npx skills add akitaonrails/my-skills --skill blog-cost-charts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install akitaonrails/my-skills blog-cost-charts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/akitaonrails/my-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/blog-cost-charts .claude/skills/blog-cost-charts && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
blog-cost-charts
GitHub stars
220
Token cost
~2k tokens
SKILL.md length
872 words
Files
4 (incl. scripts)
Skills in repo
18
Repo updated
First seen
Licence
None found

At a glance

Generate dark-themed cost-vs-score bubble scatter charts and score/(costtime) value-ranking bar charts for a blog post comparing LLM benchmark results (or any dataset with a score/cost/time shape)…

  • Works in 7 steps: Pick the dataset and scope → Build the JSON config → Tune label offsets to avoid overlap → …
  • The user asks to add charts
  • SKILL.md covers When to use, Workflow and Design notes (why the script…
  • Runs Python scripts from its folder; calls python3, aws and curl; reaches new-uploads-akitaonrails.s3.us-east-2.amazonaws.com

What it does

Blog Cost Charts is an agent skill from akitaonrails/my-skills. Generate dark-themed cost-vs-score bubble scatter charts and score/(costtime) value-ranking bar charts for a blog post comparing LLM benchmark results (or any dataset with a score/cost/time shape), in Portuguese and English, upload them to S3, and embed them in the Hugo article. Use when the user asks to add charts, graphs, or a visual comparison of models/options after a ranking table on akitaonrails.com.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `README.md`, `scripts/config.example.json` and `scripts/make_charts.py`).

It sits in Writing & Content, covering File uploads and storage, Static sites and blogs and Blog and article writing. The repository describes itself as: akitaonrails' personal skills (not tailored for general usage).

When your agent uses it

  • The user asks to add charts
  • A visual comparison of models/options after a ranking table on akitaonrails.com

Example prompts

  • “/blog-cost-charts”

Requirements

  • Python 3

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Pick the dataset and scope
  2. Build the JSON config
  3. Tune label offsets to avoid overlap
  4. Generate
  5. Upload to S3 — do not skip this
  6. Embed in the article
  7. Rebuild and verify before committing

What it can do on your machine

Read from SKILL.md and the folder at commit 5763b9e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • aws
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • new-uploads-akitaonrails.s3.us-east-2.amazonaws.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Blog Cost Charts loads about 2k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 872 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 872 words (~2,032 tokens).

“You help turn a ranking table (score, cost, time, per item) into two companion charts for a blog post on this Hugo site: a cost-vs-score bubble scatter, and a score/(cost×time) value-ranking bar chart. Both are produced dark-themed, one PNG per…”

— opening of SKILL.md by akitaonrails
name
blog-cost-charts

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (scripts) in blog-cost-charts of akitaonrails/my-skills.

  • SKILL.md
  • README.md
  • scripts/config.example.json
  • scripts/make_charts.py

Open the folder on GitHubat commit 5763b9e

Compare with similar skills

Blog Cost Charts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Blog Cost Charts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Blog Cost Charts this skillakitaonrails/my-skills220—~2kAutomated safety check: PassNone
Figurevectorize-io/hindsight48k—~1.9kAutomated safety check: PassMIT
Blog Post ProcessorJustin3go/justin3go.com172—~1.5kAutomated safety check: PassCustom licence
Sidecar Websitemarcus/sidecar1.1k—~1.7kAutomated safety check: PassMIT
Publishone-ie/one131—~940Automated safety check: PassCustom licence
BlogAgriciDaniel/claude-blog2.3k1 repos~8.6kAutomated safety check: WarnMIT

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Questions about Blog Cost Charts

What does Blog Cost Charts do?

Generate dark-themed cost-vs-score bubble scatter charts and score/(costtime) value-ranking bar charts for a blog post comparing LLM benchmark results (or any dataset with a score/cost/time shape)…. Blog Cost Charts is an agent skill from akitaonrails/my-skills. Generate dark-themed cost-vs-score bubble scatter charts and score/(costtime) value-ranking bar charts for a blog post comparing LLM benchmark results (or any dataset with a score/cost/time shape), in Portuguese and English, upload them to S3, and embed them in the Hugo article.

When should I use Blog Cost Charts?

Blog Cost Charts fits situations like: the user asks to add charts; A visual comparison of models/options after a ranking table on akitaonrails.com.

How do I install Blog Cost Charts in Claude Code?

Run `npx skills add akitaonrails/my-skills --skill blog-cost-charts -a claude-code`. Or copy the skill folder (blog-cost-charts in akitaonrails/my-skills) into .claude/skills/blog-cost-charts in your project. Claude Code loads it when a task matches its description.

How do I install Blog Cost Charts in Codex?

Run `npx skills add akitaonrails/my-skills --skill blog-cost-charts -a codex`. Or copy the skill folder (blog-cost-charts in akitaonrails/my-skills) into .agents/skills/blog-cost-charts in your project. Codex loads it when a task matches its description.

Can I use Blog Cost Charts in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add akitaonrails/my-skills --skill blog-cost-charts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/blog-cost-charts, .gemini/skills/blog-cost-charts, .github/skills/blog-cost-charts and .opencode/skills/blog-cost-charts in your project.

What does Blog Cost Charts need to run?

Going by SKILL.md and its folder, Blog Cost Charts needs Python for the scripts in its folder and the command-line tools its instructions call (python3, aws and curl). Our summary lists: Python 3.

Does Blog Cost Charts access the network?

SKILL.md names 1 domain. In commands or code: new-uploads-akitaonrails.s3.us-east-2.amazonaws.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Blog Cost Charts safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Blog Cost Charts use?

No licence was found for Blog Cost Charts or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Blog Cost Charts use?

About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Blog Cost Charts?

Skills that share tags, products or a category with Blog Cost Charts: Figure (vectorize-io/hindsight, 48k stars), Blog Post Processor (Justin3go/justin3go.com, 172 stars), Sidecar Website (marcus/sidecar, 1.1k stars) and Publish (one-ie/one, 131 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Blog Cost Charts?

akitaonrails (a GitHub user) maintains it in akitaonrails/my-skills, which has 220 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 11, 2026.

Source: akitaonrails/my-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.