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Agent skill

Tooling Risk Assessment

by mohitagw15856 in mohitagw15856/pm-claude-skills

Assess an injection-mold or production tooling decision before cutting steel — soft vs hard tooling tradeoff, tool life vs forecast, cavitation math, T1 sample timeline, cost of design changes after…

MITAuto-check passed

Install Tooling Risk Assessment

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill tooling-risk-assessment -a claude-code

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

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills tooling-risk-assessment --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tooling-risk-assessment .claude/skills/tooling-risk-assessment && 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
tooling-risk-assessment
GitHub stars
1.4k
Token cost
~1.3k tokens
SKILL.md length
682 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Assess an injection-mold or production tooling decision before cutting steel — soft vs hard tooling tradeoff, tool life vs forecast, cavitation math, T1 sample timeline, cost of design changes after…

  • Works in 7 steps: Recommendation — tool class per part,… → Forecast basis — the numbers used and… → Capacity math — the cavitation… → …
  • Asked whether to kick off tooling
  • SKILL.md covers What This Skill Produces, Required Inputs, Tooling Framework and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tooling Risk Assessment is an agent skill from mohitagw15856/pm-claude-skills. Assess an injection-mold or production tooling decision before cutting steel — soft vs hard tooling tradeoff, tool life vs forecast, cavitation math, T1 sample timeline, cost of design changes after tooling, and kill criteria. Use when asked whether to kick off tooling, choose soft vs hard tools, size cavities, review a tooling quote, or assess the risk of tooling before the design is frozen. Produces a tooling risk assessment with capacity math, a decision recommendation, and explicit kill criteria.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked whether to kick off tooling
  • Choose soft vs hard tools
  • Review a tooling quote
  • Assess the risk of tooling before the design is frozen

Example prompts

  • “/tooling-risk-assessment”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Recommendation — tool class per part, cavitation, when to kick off, capital at risk
  2. Forecast basis — the numbers used and their confidence [assumed] where inferred
  3. Capacity math — the cavitation calculation shown, tool-life check
  4. Timeline — kickoff → T1 → T2/T3 loops → parts for [build], vs the hard date
  5. Change-risk narrative — open design questions mapped to steel-safe / weld / new-tool cost
  6. Kill criteria — the specific findings (e.g. DVT reliability failure in a tooled part, forecast cut below X, cert failure implicating…
  7. Risk register — remaining risks with owner and trigger date

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Tooling Risk Assessment loads about 1.3k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 682 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 682 words, ~1,333 tokens.

Download SKILL.mdSave it as .claude/skills/tooling-risk-assessment/SKILL.md (or your agent's skills folder).
name
tooling-risk-assessment
description
Assess an injection-mold or production tooling decision before cutting steel — soft vs hard tooling tradeoff, tool life vs forecast, cavitation math, T1 sample timeline, cost of design changes after tooling, and kill criteria. Use when asked whether to kick off tooling, choose soft vs hard tools, size cavities, review a tooling quote, or assess the risk of tooling before the design is frozen. Produces a tooling risk assessment with capacity math, a decision recommendation, and explicit kill criteria.

Tooling Risk Assessment Skill

Cutting steel converts design uncertainty into cash at the worst exchange rate in hardware. This skill assesses a tooling decision the way a seasoned NPI/ME lead does: match tool class to forecast confidence, do the cavitation math against peak demand, put the T1→T2→T3 timeline on the calendar, price the "what if the design changes after tooling" scenario honestly, and write the kill criteria before the money moves.

What This Skill Produces

  • A soft vs hard tooling recommendation per part, with the tradeoff shown
  • Cavitation and capacity math against the forecast ramp
  • A T1 sample timeline with tuning-loop buffer
  • An ECO-after-tooling cost narrative (steel-safe vs weld territory)
  • Explicit kill criteria and total capital-at-risk summary

Required Inputs

Ask for these if not provided; if forecast confidence is unstated, assume it is low and label the assumption:

  • Part list going to tool — which parts, materials, cosmetic surfaces
  • Forecast — peak monthly/weekly demand and lifetime volume, with confidence
  • Design maturity — which build validated this geometry (pre-EVT? post-DVT?)
  • Cycle time estimates and target resin(s)
  • Tooling quotes if in hand — cost, cavitation, steel type, lead time
  • Hard dates — launch window that the T1 timeline must serve

Tooling Framework

Tool class tradeoff:

Soft tool (Al / P20 unhardened)Hard tool (P20/H13 hardened steel)
Life~5k–100k shots~500k–1M+ shots
Lead time to T1~3–6 weeks~8–12 weeks
Cost~30–50% of hard toolFull cost
Change toleranceCheap to modify or scrapExpensive; welds risk cosmetic surfaces
Right whenDesign still moving; bridge builds; low lifetime volumeDesign frozen post-DVT; high volume

Cavitation math — show the work: parts/week/cavity = (3600 ÷ cycle-time-s) × press-hours/week × yield. Cavities needed = peak weekly demand ÷ parts/week/cavity, rounded up, plus a stated overhead for maintenance downtime. Sanity-check tool life: lifetime volume ÷ cavities vs shots-of-life; flag if a second tool is inevitable and when.

T1 timeline — T1 (first shots) at tool lead time; plan 2–3 tuning loops (T1→T2→T3) at ~2–3 weeks each for texture, warp, sink, and dimensional tuning. Cosmetic A-surfaces rarely pass at T1; do not let the schedule assume they will.

ECO-after-tooling narrative — classify the plausible changes: steel-safe (change removes steel / adds plastic — days, cheap), weld/re-machine (adds steel — weeks, risky on cosmetic surfaces), new insert or new tool (geometry change beyond repair — re-quote the lead time). State which open design questions land in which class.

Output Format

Show full SKILL.md (300 more words)Show less
Tooling risk assessment: [product / part set]
  1. Recommendation — tool class per part, cavitation, when to kick off, capital at risk
  2. Forecast basis — the numbers used and their confidence [assumed] where inferred
  3. Capacity math — the cavitation calculation shown, tool-life check
  4. Timeline — kickoff → T1 → T2/T3 loops → parts for [build], vs the hard date
  5. Change-risk narrative — open design questions mapped to steel-safe / weld / new-tool cost
  6. Kill criteria — the specific findings (e.g. DVT reliability failure in a tooled part, forecast cut below X, cert failure implicating geometry) that stop or re-scope the tooling spend
  7. Risk register — remaining risks with owner and trigger date

Quality Checks

  • Cavitation math is shown, not asserted, and uses peak demand — not average
  • Tool life is checked against lifetime volume per cavity
  • The timeline includes tuning loops, not just T1
  • Every open design question is mapped to an ECO cost class
  • Kill criteria are specific and dated — someone could actually invoke them
  • Capital at risk is totalled, including tools that may be scrapped

Anti-Patterns

  • Do not size cavitation on average demand — peak week plus downtime overhead or the launch starves
  • Do not cut hard tools on a design that has not survived its reliability testing — that is buying a very expensive opinion
  • Do not let the schedule assume T1 parts are shippable — T1 parts are for tuning
  • Do not treat "the factory says it's fine" as a change-risk analysis — classify each open question yourself
  • Do not present a tooling recommendation without kill criteria — the moment to define "stop" is before the spend
  • Do not hide the second-tool moment — if tool life runs out mid-ramp, say when and price it now

Example Trigger Phrases

  • "Choose soft vs hard tools."
  • "Size cavities."
  • "Review a tooling quote."
  • "Assess the risk of tooling before the design is frozen."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/tooling-risk-assessment of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Tooling Risk Assessment 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.

Tooling Risk Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tooling Risk Assessment this skillmohitagw15856/pm-claude-skills1.4k—~1.3kAutomated safety check: PassMIT
Conducting Cyber Risk Assessment With Nist 800 30mukul975/Anthropic-Cybersecurity-Skills34k—~2.5kAutomated safety check: PassApache-2.0
Feature Risk Assessmentanthropics/claude-for-legal9.6k2 repos~2.2kAutomated safety check: PassApache-2.0
Legal Risk AssessmentTHUYRan/Legal-Skills-Chinese874—~3.1kAutomated safety check: PassNone
Risk Assessment Creatorjeremylongshore/tons-of-skills-marketplace2.8k—~586Automated safety check: PassMIT
Architecture Inventory Risk AssessmentLeoYeAI/openclaw-master-skills2.2k—~3.7kAutomated safety check: PassMIT

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Questions about Tooling Risk Assessment

What does Tooling Risk Assessment do?

Assess an injection-mold or production tooling decision before cutting steel — soft vs hard tooling tradeoff, tool life vs forecast, cavitation math, T1 sample timeline, cost of design changes after…. Tooling Risk Assessment is an agent skill from mohitagw15856/pm-claude-skills. Assess an injection-mold or production tooling decision before cutting steel — soft vs hard tooling tradeoff, tool life vs forecast, cavitation math, T1 sample timeline, cost of design changes after tooling, and kill criteria.

When should I use Tooling Risk Assessment?

Tooling Risk Assessment fits situations like: asked whether to kick off tooling; choose soft vs hard tools; review a tooling quote; assess the risk of tooling before the design is frozen.

How do I install Tooling Risk Assessment in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill tooling-risk-assessment -a claude-code`. Or copy the skill folder (skills/tooling-risk-assessment in mohitagw15856/pm-claude-skills) into .claude/skills/tooling-risk-assessment in your project. Claude Code loads it when a task matches its description.

How do I install Tooling Risk Assessment in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill tooling-risk-assessment -a codex`. Or copy the skill folder (skills/tooling-risk-assessment in mohitagw15856/pm-claude-skills) into .agents/skills/tooling-risk-assessment in your project. Codex loads it when a task matches its description.

Can I use Tooling Risk Assessment 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 mohitagw15856/pm-claude-skills --skill tooling-risk-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tooling-risk-assessment, .gemini/skills/tooling-risk-assessment, .github/skills/tooling-risk-assessment and .opencode/skills/tooling-risk-assessment in your project.

What does Tooling Risk Assessment need to run?

SKILL.md names no scripts, command-line tools or credentials: Tooling Risk Assessment is instructions for the agent only.

Does Tooling Risk Assessment access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tooling Risk Assessment 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. Review the folder before installing.

What licence does Tooling Risk Assessment use?

Tooling Risk Assessment is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tooling Risk Assessment use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Tooling Risk Assessment?

Skills that share tags, products or a category with Tooling Risk Assessment: Conducting Cyber Risk Assessment With Nist 800 30 (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Feature Risk Assessment (anthropics/claude-for-legal, 9.6k stars), Legal Risk Assessment (THUYRan/Legal-Skills-Chinese, 874 stars) and Risk Assessment Creator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tooling Risk Assessment?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.