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 mcs-cli/mcs --skill techpack-creatorgit clone --depth 1 https://github.com/mcs-cli/mcsWrote 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/mcs-cli/mcs/techpack-creator)<a href="https://agentmods.dev/skills/mcs-cli/mcs/techpack-creator"><img src="https://agentmods.dev/badge/skills/mcs-cli/mcs/techpack-creator/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/mcs-cli/mcs/techpack-creator"><img src="https://agentmods.dev/badge/skills/mcs-cli/mcs/techpack-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium MCP Rug Pull · line 333 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00190 | $0.04093 |
| Opus 5.5 | $0.00076 | $0.01637 |
| Sonnet 5.5 | $0.00038 | $0.00819 |
| Haiku 4.5 | $0.00019 | $0.00409 |
Grade A, and why
techpack-creator scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 20d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
fixCommand: '/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"' How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TechPack Creator
You analyze repositories that already have Claude Code configuration and package them into MCS tech
packs for distribution. A tech pack is a Git-distributable bundle of Claude Code configuration — MCP
servers, hooks, skills, commands, agents, templates, and settings — defined in a single
techpack.yaml manifest that the mcs CLI syncs and maintains.
Two approaches — choose based on what's available:
-
mcs exportfirst (recommended when MCS is installed): Runmcs export ./pack-outputto capture the live Claude Code configuration as a starting point. Then review and improve the generatedtechpack.yaml— add brew components for runtimes, add prompts for env vars, add doctor checks, and wire up templates. This is the fastest path when the user already has a working Claude Code session. -
Direct scan (when no live config or MCS is not installed): Analyze the repo's files and directory structure directly — read hook scripts, skill directories, command files, settings JSON, CLAUDE.md content, and project manifests to understand what the repo provides. Generate the
techpack.yamland supporting files from scratch.
Both approaches produce the same output: a complete pack directory ready for mcs pack add.
Bundled references (read on demand, not upfront):
references/techpack-schema.md— Complete field-by-field schema fortechpack.yamlreferences/stack-detection.md— File-to-stack mapping and component recommendationsreferences/examples/— Realistic example techpacks (swift-ios.yaml, node-web.yaml, python-ml.yaml)
Remote documentation — use these for the latest info and link them in generated READMEs:
- MCS CLI: https://github.com/mcs-cli/mcs
- Schema reference: https://github.com/mcs-cli/mcs/blob/main/docs/techpack-schema.md
- Creating tech packs guide: https://github.com/mcs-cli/mcs/blob/main/docs/creating-tech-packs.md
- Claude Code hooks: https://code.claude.com/docs/en/hooks
- MCS CLI reference: https://github.com/mcs-cli/mcs/blob/main/docs/cli.md
- MCS troubleshooting: https://github.com/mcs-cli/mcs/blob/main/docs/troubleshooting.md
If the bundled references are unavailable (skill installed without reference files), fetch the remote documentation using WebFetch on the URLs above. The remote docs are the canonical source of truth.
What ships with it
5 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.
- 20d ago Changed · -13 lines b80d3c29a3d7
- 21d ago Changed · -3 lines 5b1e49a1134c
- 1mo ago Changed · +11 lines f09cc1b5558c
- 1mo ago First seen · 370 lines · 190 tokens per session scan A aab54eb0c978
techpack-creator is a skill published in the GitHub repository mcs-cli/mcs (91 stars, last pushed 7d ago), licensed MIT. It adds 190 tokens to every session and 4,093 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
Evaluation
Frames model, prompt, and system evaluation as a reproducible experiment with baselines, datasets, and explicit metrics.
security-conductor
Operating procedure for the kirocrew-security-conductor agent. Use when a security conductor session is seeded, inspected or debugged. Run vulnerability discovery on one target as a supervised fleet — one auditor per attack surface, an independent verifier per finding, two human gates.
artifact-deploy
One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".
explain-for
Explain a topic, code, error or design decision for one named audience (a 5-year-old, a manager, a designer, a grad student, a parent). Resolves who it is for, pins the ground truth first, then tunes vocabulary, analogy, tone and depth to that audience. Use when an audience is named.
learn-from-sage
Detection-gap (miss) analysis for Code Review Sage. Learn from shipped fixes, acted-on human comments, and design outcomes to close reviewer blind spots. Inline during review stages a candidate; a human triggers a one-shot AI consolidation into the live ruleset.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.