Agent skill

Cc Version Analysis

by ww-w-ai in ww-w-ai/bkit-claude-code

CC CLI version upgrade impact analysis — research changes, analyze bkit impact, generate report.

Apache-2.0Auto-check: notesDevelopment

Install Cc Version Analysis

skills CLI
$ npx skills add ww-w-ai/bkit-claude-code --skill cc-version-analysis -a claude-code

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

GitHub CLI
$ gh skill install ww-w-ai/bkit-claude-code cc-version-analysis --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/ww-w-ai/bkit-claude-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cc-version-analysis .claude/skills/cc-version-analysis && 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
cc-version-analysis
GitHub stars
601
Token cost
~4.8k tokens
SKILL.md length
1,716 words
Files
1
Skills in repo
44
Repo updated
First seen
Licence
Apache-2.0

At a glance

CC CLI version upgrade impact analysis — research changes, analyze bkit impact, generate report.

  • Works in 7 steps: Setup & Version Detection → Research (Agent: cc-version-researcher) → 5: Raw Source Verification Gate… → …
  • Tasks that involve Code migrations
  • SKILL.md covers Overview, HARD-GATE, Invocation and Process Flow, plus 6 more sections
  • Calls claude and node; reaches github.com and raw.githubusercontent.com

What it does

Cc Version Analysis is an agent skill from ww-w-ai/bkit-claude-code. CC CLI version upgrade impact analysis — research changes, analyze bkit impact, generate report. Triggers: cc-version-analysis, CC upgrade, version analysis

Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code migrations. The repository describes itself as: bkit Vibecoding Kit - PDCA methodology + Claude Code mastery for AI-native development. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Code migrations

Example prompts

  • “/cc-version-analysis”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep, Bash, Task, TaskCreate, TaskUpdate, TaskList, TaskGet, AskUserQuestion, Agent, WebSearch, WebFetch

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Setup & Version Detection
  2. Research (Agent: cc-version-researcher)
  3. 5: Raw Source Verification Gate (MANDATORY — added 2026-05-20)
  4. 6: Opaque Release Protocol (MANDATORY when triggered — ENH-420)
  5. Analyze (Agent: bkit-impact-analyst)
  6. Brainstorm (Plan Plus Methodology)
  7. Report Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 85b4913. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • Bash
    • Task
    • TaskCreate
    • TaskUpdate
    • TaskList

    …and 5 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • claude
    • node

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • raw.githubusercontent.com

    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

Cc Version Analysis loads about 4.8k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 1,716 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Glob, Grep, Bash, Task, TaskCreate, TaskUpdate, TaskList, TaskGet, AskUserQuestio

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 ww-w-ai/bkit-claude-code at commit 85b4913, republished under its Apache-2.0 licence (© ww-w-ai). 1,716 words, ~4,805 tokens.

Download SKILL.mdSave it as .claude/skills/cc-version-analysis/SKILL.md (or your agent's skills folder).
name
cc-version-analysis
description
CC CLI version upgrade impact analysis — research changes, analyze bkit impact, generate report. Triggers: cc-version-analysis, CC upgrade, version analysis
allowed-tools
Read, Write, Edit, Glob, Grep, Bash, Task, TaskCreate, TaskUpdate, TaskList, TaskGet, AskUserQuestion, Agent, WebSearch, WebFetch
classification
workflow
classification-reason
Orchestrates multi-phase research and analysis pipeline independent of model capability
deprecation-risk
none
effort
high
argument-hint
[from_version] [to_version]
user-invocable
true
agents.research
bkit:cc-version-researcher
agents.analyze
bkit:bkit-impact-analyst
agents.report
bkit:report-generator
imports
${PLUGIN_ROOT}/templates/cc-version-analysis.template.md, ${PLUGIN_ROOT}/templates/plan-plus.template.md, ${PLUGIN_ROOT}/templates/report.template.md

CC Version Analysis — Claude Code CLI 버전 영향 분석 워크플로우

CC CLI 버전 업그레이드 시 bkit plugin에 대한 영향을 체계적으로 조사, 분석하고 개선 기회를 도출하는 전문 워크플로우 스킬.

Overview

이 스킬은 CC CLI의 새 버전이 출시되었을 때 다음을 자동화합니다:

  1. Phase 1 (Research): CC 변경사항 심층 조사
  2. Phase 2 (Analyze): bkit 아키텍처 영향 분석
  3. Phase 3 (Brainstorm): Plan Plus 브레인스토밍으로 개선안 도출
  4. Phase 4 (Report): 종합 영향 분석 보고서 작성

Agent Team 구성:

  • cc-version-researcher: CC 버전 변경사항 외부 조사
  • bkit-impact-analyst: bkit 내부 아키텍처 영향 분석
  • report-generator: 최종 보고서 생성

HARD-GATE

<HARD-GATE>
Do NOT skip any phase. Each phase produces artifacts that feed into the next.
Do NOT generate the final report without completing Research and Analysis phases.
Do NOT implement any ENH items — this skill is analysis-only.
All documents MUST be written in Korean (한국어).

NEW (v2.1.16 errata learning — added 2026-05-20): Do NOT advance from Phase 1 → Phase 2 without completing the Phase 1.5 Raw Source Verification Gate. The cc-version-researcher agent's quantitative claims (bullet count, issue counts, file counts) MUST be cross-checked against ≥2 raw sources (GitHub release tag URL + raw CHANGELOG.md URL) before being adopted into the report. The v2.1.145 cycle leaked an unverified bullet count of 21 (actual: 20) and an unverified agent count of 36 (actual: 34) because this gate did not exist. If raw and agent disagree, raw wins. </HARD-GATE>

Invocation

/cc-version-analysis                    # Auto-detect: installed vs latest
/cc-version-analysis 2.1.78 2.1.85     # Specific version range
/cc-version-analysis to 2.1.85         # From current installed to target

Process Flow

┌─────────────────────────────────────────────────────┐
│                CC Version Analysis                   │
├─────────────────────────────────────────────────────┤
│                                                      │
│  Phase 0: Setup & Version Detection                  │
│  ├── Detect installed CC version (claude --version)  │
│  ├── Determine target version (args or latest)       │
│  ├── Create Task tracking structure                  │
│  └── Load previous analysis from memory              │
│                                                      │
│  Phase 1: Research (cc-version-researcher agent)     │
│  ├── Official docs (code.claude.com)                 │
│  ├── GitHub (anthropics/claude-code)                 │
│  │   ├── Releases & changelog                        │
│  │   ├── Issues (open & recently closed)             │
│  │   ├── PRs (merged in version range)               │
│  │   └── Commits (significant changes)               │
│  ├── npm registry (@anthropic-ai/claude-code)        │
│  ├── Technical blogs & community                     │
│  └── Output: CC Change Report (structured)           │
│                                                      │
│  Phase 1.5: Raw Source Verification Gate (MANDATORY) │
│  ├── WebFetch https://github.com/anthropics/         │
│  │   claude-code/releases/tag/v{to}                  │
│  ├── WebFetch https://raw.githubusercontent.com/     │
│  │   anthropics/claude-code/main/CHANGELOG.md        │
│  ├── Cross-check agent's bullet count vs raw count  │
│  ├── If mismatch → raw wins, record errata           │
│  ├── Spot-check ≥3 random Fixed bullets verbatim     │
│  └── Block Phase 2 if any mismatch unresolved        │
│                                                      │
│  Phase 2: Analyze (bkit-impact-analyst agent)        │
│  ├── Map CC changes → bkit components                │
│  ├── Identify ENH opportunities                      │
│  ├── File impact matrix                              │
│  ├── Philosophy compliance check                     │
│  ├── Test impact assessment                          │
│  └── Output: bkit Impact Analysis (structured)       │
│                                                      │
│  Phase 3: Brainstorm (Plan Plus methodology)         │
│  ├── Intent discovery (핵심 목표/리스크/기회)         │
│  ├── Alternative exploration                         │
│  ├── YAGNI review (각 ENH 필요성 검증)               │
│  ├── Priority assignment (P0~P3)                     │
│  └── Output: Prioritized ENH roadmap                 │
│                                                      │
│  Phase 4: Report Generation                          │
│  ├── Merge all phase outputs                         │
│  ├── Generate from template                          │
│  │   (cc-version-analysis.template.md)               │
│  ├── Save to docs/04-report/features/                │
│  ├── Update MEMORY.md (version history)              │
│  └── Output: Final Impact Report (Korean)            │
│                                                      │
└─────────────────────────────────────────────────────┘

Phase Details

Phase 0: Setup & Version Detection
1. Detect installed CC version:
   $ claude --version

2. Determine target version:
   - If args provided: use specified versions
   - If no args: search for latest available version

3. Create Task structure:
   TaskCreate: "[CC-Version-Analysis] CC v{from} → v{to}"
     ├── Task: "Phase 1: CC 변경사항 조사"
     ├── Task: "Phase 2: bkit 영향 분석"
     ├── Task: "Phase 3: Plan Plus 브레인스토밍"
     └── Task: "Phase 4: 보고서 작성"

4. Load previous analysis context:
   - Read memory/cc_version_history_*.md
   - Read last ENH number from MEMORY.md
   - Read existing PDCA status from .bkit/state/pdca-status.json
Phase 1: Research (Agent: cc-version-researcher)

Input: from_version, to_version Output: Structured CC Change Report

Launch the cc-version-researcher agent with:

Research CC CLI changes from v{from} to v{to}.
Sources: official docs, GitHub (issues/PRs/releases), npm, blogs.
Categorize by: Breaking/Feature/Fix/Performance/SystemPrompt/Hook/Config.
Rate impact: HIGH/MEDIUM/LOW.
Flag bkit-relevant changes.
Output structured markdown tables.

Parallel research tasks (when using Agent Team):

  • Task 1: GitHub releases + changelog
  • Task 2: GitHub issues (open + recently closed)
  • Task 3: Official docs changes
  • Task 4: System prompt diff analysis
Phase 1.5: Raw Source Verification Gate (MANDATORY — added 2026-05-20)

Why: cc-version-researcher's output may paraphrase, summarize, or miscount. The v2.1.145 cycle revealed that a single WebFetch (via the model-processed release tag page) under-counted by 1 bullet (reported 6 Added, actual 7). A second fetch against raw CHANGELOG.md is required to catch this.

Protocol (main session, not delegated):

  1. Fetch raw GitHub release tag page:
    WebFetch https://github.com/anthropics/claude-code/releases/tag/v{to_version}
  2. Fetch raw CHANGELOG.md (authoritative):
    WebFetch https://raw.githubusercontent.com/anthropics/claude-code/main/CHANGELOG.md
    prompt: "Show the FULL v{to_version} section verbatim. List every bullet exactly as written, in order, under the original headings (Added/Fixed/ Improved/Breaking/etc). Do NOT summarize."
  3. Compare to cc-version-researcher's reported counts:
    • Bullet count (total / per-heading)
    • Breaking count
    • HIGH/MEDIUM/LOW split
    • Key item presence (security fixes, OTEL, hook input changes)
  4. If raw and agent disagree → raw wins. Record discrepancy in report under §3.0 "Verification Notes" with both numbers.
  5. Spot-check ≥3 random Fixed bullets — verify verbatim text in agent report matches raw.
  6. Block Phase 2 progression if any mismatch is unresolved.

Output: §3.0 Verification table appended to Phase 1 output:

FieldAgent reportedRaw verifiedSource URLVerdict
AddedNMraw CHANGELOGmatch / errata
FixedNMraw CHANGELOGmatch / errata
ImprovedNMraw CHANGELOGmatch / errata
BreakingNMraw CHANGELOGmatch / errata
Total bulletsNMsummatch / errata
Phase 1.6: Opaque Release Protocol (MANDATORY when triggered — ENH-420)

Trigger: the range's CHANGELOG carries ≤ 1 bullet, OR its bullets are non-specific ("Bug fixes and reliability improvements"). CC v2.1.226 was the first instance and will not be the last.

Why this exists: an opaque release makes CHANGELOG-based analysis worth exactly nothing, and the cycle either invents an answer or measures one. Cycle #35 measured, and the measurement carried the whole report — but it took 15+ manual tool calls to re-derive a procedure nobody had written down, and it produced a false positive along the way (ERRATA-35-1) before catching it.

Procedure (main session, not delegated):

  1. Run node scripts/cc-binary-equivalence.js <from> <to> (ENH-421). It reports file size, sha256, Mach-O segment sizes, and exact grep -a -o -F counts for every hook-contract marker, in one pass per build.
  2. Read the segment table before the marker table. Identical __TEXT / __DATA_CONST / __DATA with a moving __BUN means a payload swap, not a native rebuild — a distinction the file size alone hides.
  3. If no marker moved, the range is equivalent on the measured surfaces, and that is the finding. State the surfaces; do not generalize past them.
  4. Transfer rule: when two builds are equivalent, every judgement made about the earlier one carries forward unchanged — compatibility, risk, tracked-issue state. Nothing needs re-evaluating, and saying so explicitly is more useful than re-deriving it.
  5. "No change" is itself a reason RECOMMENDED_VERSION cannot rise. An equivalent release resolves nothing, so a hold stays a hold.

Method rules, each of which cost a cycle:

  • ERRATA-35-1: a strings set diff is NOT evidence. Trailing-byte artifacts alone produced 1,315 added / 1,226 removed on two builds that turned out to be equivalent. Only exact counts on the raw file count.
  • ERRATA-37-2: a needle beginning with - is parsed as an option by ugrep and silently returns 0, which reads as absence. Use grep -a -o -F -e '<needle>'.
  • ERRATA-37-6: a misspelled needle also returns a silent 0. Measure spelling variants together — runInBackground was 0 in three builds while run_in_background was 49.
  • ERRATA-33-6: the CHANGELOG paraphrases the implementation. A count of 0 for a term lifted from the release notes does not mean the fix is absent.
  • ERRATA-36-6: cmp -l over two ~300 MB binaries exceeds a two-minute budget, and cmp -n / -i return wrong results on this artifact. Do not use them.

Binary provenance (ENH-422) — record these in the report and in the cycle memory, for every build examined. They scope the claim honestly and make cross-platform gaps trackable rather than invisible:

FieldWhere from
architecturefile <binary> (e.g. Mach-O 64-bit x86_64)
file sizestat / the script's table
sha256the script's table
GIT_SHA, BUILD_TIMEthe build banner inside the bundle
platforms NOT examinedstated explicitly

The last row is the one that matters. GIT_SHA moving while the bundle does not means upstream commits exist; the honest claim is "those commits did not change the shipped macOS x86_64 bundle", never "there were no commits".

Show full SKILL.md (730 more words)Show less
Phase 2: Analyze (Agent: bkit-impact-analyst)

Input: Phase 1 CC Change Report PLUS Phase 1.5 verification table Output: bkit Impact Analysis

Pre-flight check before launching the analyst agent: the analyst will measure bkit architecture stats (agents/skills/hooks counts) via Bash. If the analyst proposes a numeric correction to memory (e.g. "agents 34 → 36"), the main session MUST re-run the measurement command independently before accepting it. See "Numeric Correction Protocol" in bkit-impact-analyst.md.

Launch the bkit-impact-analyst agent with:

Analyze bkit impact from these CC changes: {phase1_output}
Map each change to bkit components (agents/skills/hooks/lib/scripts).
Identify ENH opportunities starting from ENH-{last+1}.
Check philosophy compliance (Automation First, No Guessing, Docs=Code).
Assess test impact per ENH.

Analysis scope:

  • 29 agents: frontmatter compatibility
  • 31 skills: allowed-tools, hooks compatibility
  • 12 hook events: new events, changed behavior
  • 210 lib exports: API compatibility
  • 50 scripts: stdin/stdout protocol
  • 1,186 TCs: test coverage gaps
Phase 3: Brainstorm (Plan Plus Methodology)

Input: Phase 2 Impact Analysis Output: Prioritized ENH Roadmap

Apply Plan Plus brainstorming phases:

3.1 Intent Discovery

Ask and answer:

  • 이 CC 업그레이드에서 bkit이 얻을 수 있는 최대 가치는?
  • 놓치면 안 되는 critical change는?
  • 기존 workaround를 대체할 수 있는 native 기능은?
3.2 Alternative Exploration

For each HIGH/MEDIUM ENH:

  • 구현 방법 A vs B vs C 비교
  • 최소 구현 (MVP) vs 완전 구현 trade-off
  • 다른 ENH와의 의존성/시너지
3.3 YAGNI Review

Each ENH must pass:

  • ✅ 현재 사용자가 실제로 필요로 하는가?
  • ✅ 구현하지 않으면 어떤 문제가 발생하는가?
  • ✅ 다음 CC 버전에서 더 나은 방법이 나올 가능성은?
  • ❌ YAGNI fail → P3 강등 또는 제거
3.4 Priority Assignment

Final priority based on:

  • P0: Core PDCA workflow 직접 개선 또는 known pain point 해결
  • P1: 중요한 새 기능 활성화 또는 major DX 개선
  • P2: Nice-to-have, 문서 업데이트
  • P3: Cosmetic, minor optimization, future consideration
Phase 4: Report Generation

Input: All phase outputs Output: Final Korean report in docs/

  1. Generate report from cc-version-analysis.template.md
  2. Save to: docs/04-report/features/cc-v{from}-v{to}-impact-analysis.report.md
  3. Also create Plan (if ENH count > 0): docs/01-plan/features/cc-v{from}-v{to}-impact-analysis.plan.md
  4. Update MEMORY.md:
    • CC version history section
    • ENH number range
    • Consecutive compatible releases count
    • Open/closed GitHub issues
  5. Update memory file: memory/cc_version_history_v{from}_v{to}.md

Task Management Protocol

All work MUST be tracked via Task Management System:

[CC-Version-Analysis] CC v{from} → v{to}          # Parent task
├── [Research] Phase 1: CC 변경사항 조사             # cc-version-researcher
│   ├── GitHub releases 조사
│   ├── GitHub issues 조사
│   ├── 공식 문서 변경 조사
│   └── 시스템 프롬프트 변경 분석
├── [Analyze] Phase 2: bkit 영향 분석                # bkit-impact-analyst
│   ├── 컴포넌트 매핑
│   ├── ENH 기회 식별
│   ├── 파일 영향 매트릭스
│   └── 철학 준수 검증
├── [Brainstorm] Phase 3: 브레인스토밍               # Plan Plus
│   ├── 의도 탐색
│   ├── 대안 탐색
│   └── YAGNI 검토
└── [Report] Phase 4: 보고서 작성                    # report-generator
    ├── 템플릿 기반 보고서 생성
    ├── MEMORY.md 업데이트
    └── 최종 검토

Agent Team Configuration

When invoked with CTO Team (/pdca team):

RoleAgentModelTask
Leadcto-leadfableOverall orchestration
Researchercc-version-researcheropusPhase 1: CC research
Analystbkit-impact-analystopusPhase 2: bkit analysis
Reporterreport-generatorhaikuPhase 4: Report writing

Parallel execution:

  • Phase 1 tasks can run in parallel (GitHub, docs, npm)
  • Phase 2 depends on Phase 1 completion
  • Phase 3 depends on Phase 2 completion
  • Phase 4 depends on Phase 3 completion

Quality Checklist

Before completing, verify:

  • All CC changes from version range are captured
  • Every change has impact classification (HIGH/MEDIUM/LOW)
  • Every ENH has priority (P0/P1/P2/P3)
  • Philosophy compliance checked for all ENH items
  • File impact matrix is complete
  • Test impact assessed for all ENH items
  • Report is written in Korean
  • MEMORY.md is updated
  • Task tracking shows all items completed
  • Executive Summary includes 4-perspective value table
Raw Verification Checklist (NEW — Phase 1.5 gate, v2.1.16 errata learning)
  • Raw GitHub release tag URL fetched (releases/tag/v{to})
  • Raw CHANGELOG.md URL fetched (raw.githubusercontent.com)
  • Bullet counts cross-verified (agent vs raw, both numbers reported)
  • ≥3 spot-check bullets confirmed verbatim against raw
  • Numeric corrections re-verified via direct Bash measurement before adoption
  • §3.0 Verification table included in report (5 rows: Added/Fixed/Improved/Breaking/Total)
  • Errata entries recorded in memory file under "Known Errata" section if any mismatches occurred

Known Errata Log (errata learning archive)

When raw verification catches a discrepancy with agent output, record it here to prevent repeat-mistakes and to feed future skill improvements.

Cycle v2.1.145 (2026-05-20)
FieldAgent reportedRaw verifiedRoot cause
Bullet count21 (Features 7 + Fixes 13 + Improved 1)20 (Added 7 + Fixed 12 + Improved 1)Agent over-counted Fixed by 1; first WebFetch on model-processed release page under-reported Added by 1 (raw CHANGELOG was authoritative)
Agents directory count36 (proposed correction from 34)34 (ls -1 agents/ | wc -l)Analyst proposed unverified numeric correction; main session adopted without re-measurement
F7-145 background_tasks/session_crons"extension surface" (no clear source citation)Confirmed in raw CHANGELOG Added #7 verbatimSingle-source WebFetch had originally omitted this bullet; second raw fetch recovered it

Lessons applied to skill (this commit):

  1. Phase 1.5 Raw Verification Gate now mandatory before Phase 2
  2. cc-version-researcher: verbatim bullet quotation required
  3. bkit-impact-analyst: direct-measurement-first; Numeric Correction Protocol
  4. SKILL.md: 7-item Raw Verification Checklist added
  5. bkit-impact-analyst.md: stale architecture snapshot removed, replaced with mandatory Bash measurement protocol

Previous Analysis Reference

This skill builds on established analysis patterns:

  • docs/04-report/features/claude-code-v2172-impact-analysis.report.md
  • docs/04-report/features/claude-code-v2178-impact-analysis.report.md
  • memory/cc_version_history_v2134_v2172.md

Always read previous reports first to maintain consistency in:

  • ENH numbering (continue from last used number)
  • Report structure and depth
  • Consecutive compatible release tracking
  • GitHub issues monitoring continuity

© ww-w-ai, Apache-2.0. 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/cc-version-analysis of ww-w-ai/bkit-claude-code.

Open the folder on GitHubat commit 85b4913

Compare with similar skills

Cc Version Analysis 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.

Cc Version Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cc Version Analysis this skillww-w-ai/bkit-claude-code601—~4.8kAutomated safety check: NotesApache-2.0
Migrate Core Code to Submodulestinyhumansai/openhuman42k—~2.6kAutomated safety check: PassGPL-3.0
Migrate Internal Package into GhostTryGhost/Ghost55k—~3.8kAutomated safety check: PassMIT
Next Cache Components Adoptionvercel/next.js143k6 repos~8.3kAutomated safety check: PassMIT
Deprecate R Functions and Argumentstidyverse/dplyr5.1k1 repos~1.2kAutomated safety check: PassCustom licence
Rust Path Typesopeninterpreter/openinterpreter69k2 repos~605Automated safety check: PassApache-2.0

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Categories

Questions about Cc Version Analysis

What does Cc Version Analysis do?

CC CLI version upgrade impact analysis — research changes, analyze bkit impact, generate report. Cc Version Analysis is an agent skill from ww-w-ai/bkit-claude-code. CC CLI version upgrade impact analysis — research changes, analyze bkit impact, generate report.

When should I use Cc Version Analysis?

Cc Version Analysis fits situations like: tasks that involve Code migrations.

How do I install Cc Version Analysis in Claude Code?

Run `npx skills add ww-w-ai/bkit-claude-code --skill cc-version-analysis -a claude-code`. Or copy the skill folder (skills/cc-version-analysis in ww-w-ai/bkit-claude-code) into .claude/skills/cc-version-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Cc Version Analysis in Codex?

Run `npx skills add ww-w-ai/bkit-claude-code --skill cc-version-analysis -a codex`. Or copy the skill folder (skills/cc-version-analysis in ww-w-ai/bkit-claude-code) into .agents/skills/cc-version-analysis in your project. Codex loads it when a task matches its description.

Can I use Cc Version Analysis 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 ww-w-ai/bkit-claude-code --skill cc-version-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cc-version-analysis, .gemini/skills/cc-version-analysis, .github/skills/cc-version-analysis and .opencode/skills/cc-version-analysis in your project.

What does Cc Version Analysis need to run?

Going by SKILL.md and its folder, Cc Version Analysis needs the command-line tools its instructions call (claude and node). Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep, Bash, Task, TaskCreate, TaskUpdate, TaskList, TaskGet, AskUserQuestion, Agent, WebSearch, WebFetch.

Does Cc Version Analysis access the network?

SKILL.md names 2 domains. In commands or code: github.com and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Cc Version Analysis safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Cc Version Analysis use?

Cc Version Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cc Version Analysis use?

About 4.8k tokens (SKILL.md is roughly 19k 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 Cc Version Analysis?

Skills that share tags, products or a category with Cc Version Analysis: Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars), Migrate Internal Package into Ghost (TryGhost/Ghost, 55k stars), Next Cache Components Adoption (vercel/next.js, 143k stars) and Deprecate R Functions and Arguments (tidyverse/dplyr, 5.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cc Version Analysis?

ww-w-ai (a GitHub organization) maintains it in ww-w-ai/bkit-claude-code, which has 601 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on September 27, 2026.

Source: ww-w-ai/bkit-claude-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.