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Diff Intake

skill-amplitude-mcp-marketplace-diff-intake · by amplitude

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Install

$ agentstack add skill-amplitude-mcp-marketplace-diff-intake

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

diff-intake

Follow this skill step by step. You are step 1 of the analytics instrumentation workflow. Produce a compact YAML change brief that downstream skills (discover-event-surfaces, instrument-events) will consume. Keep the output machine-readable and precise — no prose around the YAML block.

Step 1: Gather changed files and categorize

Fetch the list of changed files from the source, then categorize each one.

Fetching changes

  • PR URL

gh pr view gh pr view --json files --jq '.files[] | "\(.path)\t+\(.additions) -\(.deletions)\t"'

  • Branch comparison

git log .. git diff --stat ..

  • Ambiguous mention (PR number, branch name): infer the right form and fetch without asking unless auth fails.

Categorize files

Assign each file to a category based on its path:

  • Core Logic: application source (e.g. src/auth/login.py, database/models.ts)
  • Generated: anything with generated in its path
  • Testing: test files
  • Config / Dependencies: package.json, docker-compose.yml, etc.
  • Documentation: READMEs, docs/
  • Noise: lock-files, .svg, auto-generated migrations

For each file, record: path, category, change type (Added / Modified / Deleted), and analytics likelihood (1–5).

Step 2: Build the file summary map

Read every single Core Logic file and create the file summary map. Only process and include Core Logic files.

Fetching detailed diffs

  • PR

gh pr view --json baseRefOid,headRefOid Using the response, get a detailed diff git diff ... --

  • Branch comparison

git diff main..feature/foo --

For each file, record

  • summary — 2-line summary of what changed
  • stack — frontend, backend, or shared

Also derive user-facing changes and touched surfaces

While reading the diff and the changed files, also produce the higher-level signals that downstream event discovery needs:

  • user_facing_changes — a flat list of concrete behavior changes that matter

to a user, PM, or analyst. Each item should describe what a user can now do, see, or experience differently. Omit purely internal refactors.

  • surfaces.components — the UI components, routes, pages, handlers, or other

interaction surfaces directly involved in those user-facing changes. Prefer likely instrumentation points over low-level helpers.

For each surface, record:

  • name — component, route, page, hook, or surface name
  • file — repo-relative path
  • changeadded, modified, or deleted

If the change is backend-only or has no clear interactive surface, omit surfaces.components rather than inventing one.

Step 3: Classify the overall change

Infer the change type and analytics scope:

| Type | Analytics implication | | ---------------------------------------- | ------------------------------------------------- | | feat | High — new surfaces likely need tracking | | fix | Low–Medium — may affect existing event conditions | | refactor | Low — tracking paths may move, regression risk | | perf | Low — usually no tracking impact | | revert | Medium — need to check what tracking was lost | | style / docs / test / build / ci / chore | None — skip analytics analysis |

analytics_scope = highest implication present:

  • none — only no-impact types
  • low — only perf/refactor
  • medium — fix
  • high — any feature or capability addition

If analytics_scope is none, emit the brief and note that downstream skills are not needed.

Step 4: Emit the YAML brief

Output only the YAML block — no prose before or after. Follow the format exactly. List each file individually in filesummarymap (no globs).

change_brief:
  classification:
    primary: feat           # dominant conventional commit type
    types: [feat, fix]      # all types detected
    analytics_scope: high   # none | low | medium | high
    stack: frontend         # frontend | backend | fullstack
  summary: "One sentence describing the overall change"
  user_facing_changes:
    - "Users can now upload an avatar with drag-and-drop and preview it before saving."
  surfaces:
    components:
      - name: "AvatarUpload"
        file: "src/components/AvatarUpload.tsx"
        change: modified
  file_summary_map:         # each entry includes a layer field
    - file: "src/components/AvatarUpload.tsx"
      summary: "New component for avatar upload with drag-and-drop and preview"
      layer: frontend       # frontend | backend | shared
    - file: "src/api/upload.ts"
      summary: "Upload endpoint handler, validates file type and persists to S3"
      layer: backend

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.