A tool for turning a local file into a GitHub Gist, which is a small code or text snippet hosted by GitHub.

Use it when you want to create a public or private gist from a file and add a README covering its purpose, setup, dependencies, and usage.

It avoids manually copying file contents into GitHub and writing separate documentation.

gist-create — Skill by ericboehs

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.

agentmods

npx agentmods add skills/ericboehs/claude-plugins/gist-create

Any agent

npx skills add ericboehs/claude-plugins --skill gist-create

Clone the repo

git clone --depth 1 https://github.com/ericboehs/claude-plugins

Made for: Claude Code, Codex.

Or install gist, the plugin that ships this one along with the rest of its 2 skills.

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 258 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00033	$0.00258
Opus 5	$0.00016	$0.00129
Sonnet 5	$0.00007	$0.00052
Haiku 4.5	$0.00003	$0.00026

Measured 2d ago against content hash baecabf53b2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gist-create scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Installation instructions (curl from raw gist URL)

plugins/gist/skills/gist-create/SKILL.md · 31 lines

What it actually says

Create a GitHub Gist

Create a GitHub Gist from the file path provided: $ARGUMENTS

Steps

Read the file to understand what it does
Create a gist using: gh gist create <filepath> --desc "<description>" --public
- If the user requests a private gist, omit the --public flag (gists default to private)
Generate a comprehensive README as a gist comment using the GitHub API:
```
gh api -X POST /gists/<gist_id>/comments -f body='<markdown_readme>'
```
The README comment should include:
- Title and description
- Features list
- Installation instructions (curl from raw gist URL)
- Dependencies
- Usage examples
- Configuration details (if applicable)
Report the gist URL to the user when complete

Note: Use single quotes around the body and escape any single quotes in the content with '''

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.

2d ago First seen · 31 lines · 33 tokens per session scan A baecabf53b2b

Subscribe to this mod's changes

gist-create is a skill published in the GitHub repository ericboehs/claude-plugins (2 stars, last pushed 9d ago), licensed MIT. It adds 33 tokens to every session and 258 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Git and workflow

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

gist-create