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Assess Impact

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danielvm-git
assess-impact

Analyze the blast radius of a proposed change before any code is written. Maps dependents, affected stories, and test coverage. Produces specs/IMPACT_LATEST.md. Use before plan-work on any non-trivial change, when touching a shared module, or when the user asks "what does this break?".

Overview

Publisherdanielvm-git
Repositorybigpowers
Skill nameassess-impact
Stars
206
Forks
18
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by danielvm-git on GitHub. Read the source before you install it.

Installation

Install the Assess Impact AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/danielvm-git/bigpowers.git /tmp/bigpowers
mkdir -p .claude/skills
cp -r /tmp/bigpowers/skills/assess-impact .claude/skills/assess-impact
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Assess Impact in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Assess Impact on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Assess Impact is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Assess Impact

HARD GATE — Run this skill before plan-work whenever a change touches an existing module, symbol, or file used by more than one caller. Skip only for net-new code with no existing dependents.

Find the blast radius of the proposed change before a single line is written.

Modes

  • Default: full impact analysis (dependents + affected stories + test coverage mapping)
  • --lightweight: Fast fan-in/fan-out only (<10s). Maps callers and imports without test coverage mapping. Used by build-epic step 2 as a pre-plan gate. Risk score > 7 triggers a mandatory grill-me session before proceeding.

Process

1. Identify the target

Name the symbol, module, or file being changed. If the user hasn't specified, ask one question: "What exactly are you changing?"

2. Find dependents

grep -rn "[symbol-name]" . --include="*.ts" | grep -v node_modules
git log --oneline -10 -- [file-path]

→ verify: test -f specs/IMPACT_LATEST.md || test -d specs/bugs

3. Map to release plan stories

Read specs/release-plan.yaml + epic capsule directories (if it exists). For each dependent found in Step 2, identify which story owns that module. List stories that will be affected by the change.

→ verify: test -f specs/release-plan.yaml && grep -ci "stor" specs/release-plan.yaml

4. List test coverage

Find tests that exercise the target:

grep -rn "[symbol-name]" . --include="*.test.*" --include="*.spec.*"

→ verify: test -d specs/epics || test -d skills

5. Classify risk

LevelCondition
Low≤ 2 callers, all covered by tests
Medium3–10 callers, partial test coverage
High> 10 callers, or shared API/interface, or no tests

6. Write specs/IMPACT_LATEST.md

## Target
[symbol or file being changed]

## Dependents ([count])
- [file]: [caller or usage]

## Affected Stories
- Story [X.Y]: [title]

## Test Coverage
- [test file]: covers [scenario]
- Gap: [untested behavior]

## Risk: Low / Medium / High
[One-sentence rationale]

## Recommended action
[Proceed / Add tests first / Discuss design]

→ verify: grep "Risk:" specs/IMPACT_LATEST.md

Suggest plan-work once risk is understood and any test gaps are noted.

Risk score gating

In --lightweight mode (used by build-epic step 2), assign a numeric risk score (1–10):

  • Fan-in (how many callers): 0–4 points
  • Fan-out (how many dependencies the module itself uses): 0–3 points
  • Recent churn (git log --oneline -5 count): 0–3 points

Risk score > 7: Gate — require a grill-me session before proceeding to implementation. Document the grill-me result in the impact report at specs/IMPACT-<epic>-<story>.md.

Frequently asked questions

What does the Assess Impact AI skill do?

Analyze the blast radius of a proposed change before any code is written. Maps dependents, affected stories, and test coverage. Produces specs/IMPACT_LATEST.md. Use before plan-work on any non-trivial change, when touching a shared module, or when the user asks "what does this break?".

Why use Assess Impact on TypingMind?

Because you install it once and use it with any model. Assess Impact is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Assess Impact in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/danielvm-git/bigpowers/tree/main/skills/assess-impact. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Assess Impact?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Assess Impact?

As many as you like. As long as a model supports skills, you can use Assess Impact with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Assess Impact AI skill free?

Yes. It is published on GitHub by danielvm-git under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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