release

release is a skill for Claude Code, Codex from memgraph/ai-toolkit. It costs 35 tokens per session (1,282 once invoked), scanned A, original, MIT.

A release workflow for publishing project packages to PyPI, the main package repository for Python, and Docker Hub, a registry for container images.

In plain words
What is it for?
Use it when releasing the listed packages to PyPI or, for one package, to Docker Hub.
Why use it?
It gathers the steps for updating a package version and manually starting the correct GitHub Actions workflow for publishing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions .claude-plugin; mentions Codex.

Good fit Use it when releasing the listed packages to PyPI or, for one package, to Docker Hub.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/memgraph/ai-toolkit/release
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 memgraph/ai-toolkit --skill release
Clone the repo
git clone --depth 1 https://github.com/memgraph/ai-toolkit

Made for: Claude Code, Codex.

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 release

README.md
[![agentmods](https://agentmods.dev/badge/skills/memgraph/ai-toolkit/release/github.svg)](https://agentmods.dev/skills/memgraph/ai-toolkit/release)
Your own site
<a href="https://agentmods.dev/skills/memgraph/ai-toolkit/release"><img src="https://agentmods.dev/badge/skills/memgraph/ai-toolkit/release/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 release

Your own site · 80×15
<a href="https://agentmods.dev/skills/memgraph/ai-toolkit/release"><img src="https://agentmods.dev/badge/skills/memgraph/ai-toolkit/release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,282 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 36
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
How audits are shown
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 $0.00035 $0.01282
Opus 5.5 $0.00014 $0.00513
Sonnet 5.5 $0.00007 $0.00256
Haiku 4.5 $0.00003 $0.00128

Measured 3d ago against content hash 9ba29bacd5b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

release 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 3d 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/release/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Release Workflows

All release workflows are triggered via workflow_dispatch (manual) from the GitHub Actions tab. Bump the version in the subproject's pyproject.toml before dispatching.

Workflow files

Workflow file Package What it does Secrets used
release-mcp-memgraph.yaml mcp-memgraph Build & publish to PyPI + Docker Hub PYPI_TOKEN, DOCKERHUB_USERNAME, DOCKERHUB_TOKEN
release-toolbox.yaml memgraph-toolbox Build & publish to PyPI PYPI_TOKEN
release-langchain-memgraph.yaml langchain-memgraph Build & publish to PyPI PYPI_TOKEN
release-lightrag-memgraph.yaml lightrag-memgraph Build & publish to PyPI PYPI_TOKEN
release-unstructured2graph.yaml unstructured2graph Build & publish to PyPI PYPI_TOKEN
release-hygm.yaml hygm Build & publish to PyPI PYPI_TOKEN
release-memgraph-context-graph.yaml memgraph-context-graph Build & publish to PyPI PYPI_TOKEN
release-actions-graph.yaml actions-graph Build & publish to PyPI PYPI_TOKEN
release-skills-graph.yaml skills-graph Build & publish to PyPI PYPI_TOKEN
release-resources-graph.yaml resources-graph Build & publish to PyPI PYPI_TOKEN
release-sessions-graph.yaml sessions-graph Build & publish to PyPI PYPI_TOKEN
release-context-graph-spaces.yaml context-graph-spaces Build & publish to PyPI PYPI_TOKEN
release-context-graph-viewer.yaml context-graph-viewer Build & publish to PyPI PYPI_TOKEN

Read the full file on GitHub · 61 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. 3d ago Changed · +2 lines 9ba29bacd5b3
  2. 4d ago Changed · +2 lines 0ffb6890ea19
  3. 7d ago Changed · +2 lines d2caa7948f45
  4. 11d ago Changed · +12 lines ab83a3b92f93
  5. 1mo ago First seen · 43 lines · 35 tokens per session scan A fe32a6385072

Subscribe to this mod's changes

release is a skill published in the GitHub repository memgraph/ai-toolkit (116 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 1,282 once invoked, about $0.0001 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 2026-08-30.

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