opencodehub-impact-analysis

A code-impact analysis workflow that maps what depends on a function, class, property, route, API response, or dependency version before it is changed.

In plain words
What is it for?
Use it before editing or merging non-trivial code, changing an HTTP endpoint, altering a response shape, or upgrading a dependency.
Why use it?
It shows the likely blast radius of a change, including affected callers, API consumers, routes, and dependency or licence concerns.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/theagenticguy/opencodehub/opencodehub-impact-analysis
Any agent
npx skills add theagenticguy/opencodehub --skill opencodehub-impact-analysis
Clone the repo
git clone --depth 1 https://github.com/theagenticguy/opencodehub

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00059 $0.01530
Opus 5 $0.00030 $0.00765
Sonnet 5 $0.00012 $0.00306
Haiku 4.5 $0.00006 $0.00153

Measured yesterday against content hash 5aa16236cfa5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

opencodehub-impact-analysis 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 yesterday.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.claude/skills/opencodehub-impact-analysis/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Impact Analysis with OpenCodeHub

When to Use

  • "Is it safe to change this function?"
  • "What will break if I modify X?"
  • "Show me the blast radius."
  • "Who uses this code?"
  • Before committing or merging a non-trivial change.

Decision Tree

Is the target a symbol (function, class, method, property)?
  └─ yes → mcp__codehub__impact
Is the target an HTTP route or API endpoint?
  └─ yes → mcp__codehub__api_impact + mcp__codehub__route_map
Is the change a response-shape edit on a route?
  └─ yes → mcp__codehub__shape_check (find consumer key-access mismatches)
Is the target a dependency version bump?
  └─ yes → mcp__codehub__dependencies + mcp__codehub__license_audit
Want to see what the working tree currently touches?
  └─ yes → mcp__codehub__detect_changes

Workflow

1. mcp__codehub__impact({ name, direction: "upstream", repo })  → Dependents of the target
2. Read confidenceBreakdown                                          → Trust the confirmed count
3. If HTTP-adjacent: mcp__codehub__api_impact + shape_check      → Route + shape mismatches
4. mcp__codehub__detect_changes                                  → Map the current diff to flows
5. Assess risk tier and write the summary

If the context envelope warns the index is stale, run codehub analyze first — stale impact results are worse than no impact results.

Checklist

- [ ] mcp__codehub__impact({ name, direction: "upstream", repo })
- [ ] Review byDepth.d1 first — these WILL BREAK
- [ ] Read confidenceBreakdown; demand confirmed >= heuristic for destructive calls
- [ ] Filter to confidence >= 0.9 if the target is load-bearing (auth, payments, data integrity)
- [ ] If target is a Route: mcp__codehub__api_impact + mcp__codehub__shape_check
- [ ] mcp__codehub__detect_changes to map the current diff to affected processes
- [ ] Produce a risk tier and a one-paragraph summary

Understanding impact output

Risk levels map to blast-radius tiers:

Depth Risk Level Meaning
d=1 WILL BREAK Direct callers / importers / overrides
d=2 LIKELY AFFECTED One hop through d=1
d=3 MAY NEED TESTING Two hops — transitive effects

Read the full file on GitHub · 152 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. yesterday First seen · 152 lines · 59 tokens per session scan A 5aa16236cfa5

Subscribe to this mod's changes

opencodehub-impact-analysis is a skill published in the GitHub repository theagenticguy/opencodehub (3 stars, last pushed 20d ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,530 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens