Agent skill

Tk Impact Analysis

by tonkeeper in tonkeeper/tonkeeper-web

Analyze QA regression impact for Tonkeeper Web by comparing the current branch with the relevant release tag, reviewing sources/Web/regress.txt, and recommending test blocks, missing coverage, extra…

Apache-2.0Auto-check passedDevelopment

Install Tk Impact Analysis

skills CLI
$ npx skills add tonkeeper/tonkeeper-web --skill tk-impact-analysis -a claude-code

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

GitHub CLI
$ gh skill install tonkeeper/tonkeeper-web tk-impact-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/tonkeeper/tonkeeper-web.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/tk-impact-analysis .claude/skills/tk-impact-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
tk-impact-analysis
GitHub stars
444
Token cost
~3.7k tokens
SKILL.md length
1,943 words
Files
9 (incl. scripts, references)
Skills in repo
1
Repo updated
First seen
Licence
Apache-2.0

At a glance

Analyze QA regression impact for Tonkeeper Web by comparing the current branch with the relevant release tag, reviewing sources/Web/regress.txt, and recommending test blocks, missing coverage, extra…

  • Development work in your project
  • SKILL.md covers Startup Parameters, Workflow, Output Contract and Report File Rules, plus 2 more sections
  • Runs Python scripts from its folder; calls git and python3

What it does

Tk Impact Analysis is an agent skill from tonkeeper/tonkeeper-web. Analyze QA regression impact for Tonkeeper Web by comparing the current branch with the relevant release tag, reviewing sources/Web/regress.txt, and recommending test blocks, missing coverage, extra checks, and a generated TXT test collection.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `README.md`, `references/prompt-template.md` and `references/required-data.md`).

It sits in Development. It works with React, Linux, macOS and Git. The repository describes itself as: Tonkeeper Web is a multi-platform open-source non-custodial TON crypto wallet and gateway to blockchain dApps. The licence is Apache-2.0.

When your agent uses it

  • Development work in your project

Example prompts

  • “/tk-impact-analysis”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit d7ea321. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • git
    • python3

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Tk Impact Analysis loads about 3.7k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 1,943 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from tonkeeper/tonkeeper-web at commit d7ea321, republished under its Apache-2.0 licence (© tonkeeper). 1,943 words, ~3,694 tokens.

Download SKILL.mdSave it as .claude/skills/tk-impact-analysis/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
tk-impact-analysis
description
Analyze QA regression impact for Tonkeeper Web by comparing the current branch with the relevant release tag, reviewing sources/Web/regress.txt, and recommending test blocks, missing coverage, extra checks, and a generated TXT test collection.

TK Impact Analysis

Use this skill when the user wants release impact analysis for Tonkeeper Web and needs QA recommendations driven by code changes plus the platform regression checklist.

Startup Parameters

Require these parameters in the user request or infer them from nearby context:

  • PLATFORM: always Web for this repository

Optional parameters:

  • BASE_BRANCH: overrides the current checked out branch
  • RELEASE_BRANCH: overrides the auto-selected release branch
  • SOURCE_REPOSITORY: overrides the source repository used for git comparison
  • REPO_PATH: legacy alias for SOURCE_REPOSITORY
  • REGRESS_PATH: overrides the default regress.txt path
  • REPORT_PATH: overrides the default Markdown report path
  • TESTS_COLLECTION_PATH: overrides the default generated TXT collection path

For default folder mapping and current workspace availability, read references/required-data.md.

For the reusable invocation prompt, read references/prompt-template.md.

Workflow

  1. Prefer existing generated artifacts when they are available.
  • Before redoing git discovery, check whether the run already has:
    • reports/<execution-date>/Web/raw-git-data.txt
    • reports/<execution-date>/Web/report.md
    • reports/<execution-date>/Web/test-collection.txt
  • If those files exist and look current for the requested run, use them as the primary input for the AI refinement pass.
  • Only redo repository inspection if the generated files are missing, clearly stale, created more than 1 day ago, or the user asked for a fresh rerun.
  1. Resolve the platform-specific paths.
  • Use SOURCE_REPOSITORY or REPO_PATH if the user provided them.
  • Otherwise auto-detect the source repository from the nearest parent git repository that contains the skill.
  • Use the default regress.txt mapping from references/required-data.md.
  • If the selected source repository or regress.txt is missing, stop the analysis and report exactly what is missing.
  1. Validate the git inputs inside the selected repository.
  • Confirm the repo exists and is a git worktree.
  • In the local-script flow, fetch release tags from origin first (git fetch --tags --force origin) so the latest release set is available locally.
  • If fetch fails with SSH authentication errors, stop and ask the user to run python3 .codex/skills/tk-impact-analysis/scripts/tk_impact_analysis.py --platform Web --write-raw manually in their terminal.
  • After the user says it is done, verify that reports/<execution-date>/Web/raw-git-data.txt, report.md, and test-collection.txt were updated recently before using them.

Resolving BASE_BRANCH — do this before any git diff:

  • If BASE_BRANCH was provided explicitly, use it exactly as given. Do not substitute the current git branch.
  • If BASE_BRANCH was NOT provided, run git branch --show-current to detect the current branch.
    • STOP and ask if the detected branch does not look like a release artifact. A branch looks like a release artifact when it matches one of: vX.Y.Z, vX.Y.Z-rc.N, release/*, hotfix/*. Any other name (e.g. main, feature/*, fix/*, a skill or tooling branch) must be confirmed by the user before proceeding. Show the detected branch name and ask: "Подтвердите ветку для анализа или передайте BASE_BRANCH явно."
    • Only proceed without asking when the detected branch clearly matches a release pattern.
  • Echo back the resolved BASE_BRANCH and the planned comparison ref before running git diff, so the user can catch a wrong target immediately.

Resolving the comparison ref (RELEASE_BRANCH):

  • If RELEASE_BRANCH was provided explicitly, use it as the comparison target.
  • Otherwise discover it from tags:
    • Stable release tags match vX.Y.Z with no suffix (e.g. v4.7.0). RC / pre-release tags (-rc, -alpha, -beta, -test) are excluded from this set — they must not be chosen as the comparison baseline.
    • RC tags such as vX.Y.Z-rc.N are valid BASE_BRANCH targets (the thing being tested); they are not valid comparison baselines.
    • If no stable release tags exist, stop and ask for an explicit RELEASE_BRANCH.
  • Select the correct stable comparison ref:
    • If BASE_BRANCH is the latest stable tag → compare with the previous stable tag.
    • If BASE_BRANCH is an older stable tag → compare with the latest stable tag.
    • If BASE_BRANCH is an RC tag or any non-tag ref → compare with the latest stable tag.
  • Confirm both refs exist locally or as remote refs.
  • The branch under analysis must be the head of the three-dot diff: git diff STABLE_TAG...BASE_BRANCH.
  1. Inspect branch delta with git, paying special attention to dependency and config changes.
  • Start with (release tag first, current branch last):
    • git diff --name-status RELEASE_TAG...CURRENT_BRANCH
    • git diff --stat RELEASE_TAG...CURRENT_BRANCH
    • git log --left-right --cherry-pick --oneline RELEASE_TAG...CURRENT_BRANCH
  • Then inspect important changed files directly.
  • Dependency and config changes require expanded scope — do not skip them:
    • If any package.json changed: read its diff and identify which packages were added, removed, or version-bumped. For each changed package, map it to the functional areas it affects and add those areas to the test scope. Examples:
      • @tonconnect/sdk → Browser and connected dApps, Signing and proof flows
      • @ton/ton, tonweb → Send flow, Receive flow, Signing, Staking, Multisig
      • react-query, @tanstack/* → all screens that load async data (balance, history, tokens, staking)
      • electron → Desktop target: window management, IPC, keychain, deep links
      • @capacitor/* → Mobile target: camera, clipboard, biometry, notifications
      • Any UI library (@radix-ui, framer-motion, etc.) → all affected components
    • If any tsconfig*.json changed: read the diff, identify changed compiler options (e.g. strict, target, lib, moduleResolution). A strict mode change or target downgrade can introduce runtime regressions across the whole app — recommend a broad smoke of all major flows across all targets.
    • If any vite.config.* or webpack.config.* changed: read the diff, identify changes to chunk splitting, polyfills, env vars, or aliases. Any of these can silently break a specific platform target or feature.
    • In all cases: do not limit the test scope to "build checks only" — config and dependency changes must map to the user-visible features they affect.
  • Cluster changes into QA-relevant areas such as onboarding, wallets, send/receive, swaps, staking, signing, settings, localization, analytics, build config, and feature flags.
  • Ignore any repo-relative paths listed in references/excluded-qa-impact-paths.txt during QA impact mapping.
  • Extract concrete module or feature names from changed paths and use them in the report.
  • Search regress.txt by those module names first, including obvious localized variants when they exist.
  • Highlight files that did not match any known QA area.
  • For each unmatched file, read its actual diff (or file content if it is a new addition) and derive the concrete user-visible behavior that changed:
    • Identify what the change does (new event, renamed method, new component, config change, etc.).
    • Write a focused test case that verifies that specific behavior — not a generic "exercise the flow" template.
    • Example: if aptabase-background.ts gained a new background_started event, the suggested test should be "Open the Extension, trigger a background action, verify background_started appears in Aptabase with the expected properties."
    • If the file is infrastructure-only with no user-visible change (e.g. build config, lint config), state that explicitly instead of inventing a test.
  • Include the derived test cases in both the Markdown report and the generated TXT test collection.
  1. Review the platform regression file as an expert QA.
  • Treat regress.txt as the current regression source of truth.
  • Identify the existing regression blocks already covering the changed areas.
  • Call out weak coverage, stale wording, duplicated checks, overly broad blocks, or missing negative cases.
  • Do not just keyword-match titles; reason from the changed code paths and user flows.
  • Always include release-version-targeted blocks: scan regress.txt for any line that contains the resolved BASE_BRANCH version string (e.g. v26.06.0) or the execution-date release label (e.g. 26.06). These blocks were written in advance for this specific release and must be included in the recommended set regardless of whether their code change appears in the diff.
Show full SKILL.md (774 more words)Show less
  1. Build the impact recommendation.
  • Recommend regression blocks from regress.txt that should be executed.
  • Add a dedicated section for changed files that did not match a known QA area.
  • Show which module names and search terms were used for each unmatched file.
  • If the module-aware search still finds no matching regression cases, call out that the functionality is new or uncovered and should be tested explicitly.
  • Suggest new blocks that should be added to regress.txt because code changes are not covered well enough.
  • Avoid grouping existing regression cases when the recommended set is small and specific.
  • If there are only a few relevant existing tests, list them as separate rows instead of collapsing them into a broad range.
  • Suggest extra checks when the diff implies risk:
    • migrations and storage upgrades
    • permissions and auth
    • offline mode
    • upgrade path
    • localization
    • analytics
    • feature flags
    • cross-browser compatibility
    • responsive layout edge cases
    • platform-specific targets (web, extension, desktop, twa, mobile)
  1. Persist the result to Markdown.
  • Use report.md in the skill directory as the template for the report structure.
  • Duplicate the final user-facing analysis into REPORT_PATH or the default run report path reports/<execution-date>/Web/report.md.
  • Create the dated platform folder if it does not exist.
  • If the run report already exists, update the existing sections in place instead of regenerating the whole document.
  • Keep the Markdown easy to scan: short sections, flat bullets, blank lines between sections, and no giant unbroken paragraphs.
  1. Generate a TXT test collection with the recommended tests.
  • Use test-collection-template.txt in the skill directory as the TXT template.
  • Write the actual collection into TESTS_COLLECTION_PATH or the default run path reports/<execution-date>/Web/test-collection.txt.
  • The generated file must follow the same indented plain-text style as sources/Web/regress.txt.
  • Keep the generated collection focused on the recommended execution scope for this run.
  • Group tests into logical blocks with indentation.
  • It is acceptable to rewrite the run TXT collection fully on each execution.
  • When useful, append short source hints inline such as [regress: 24] or [reason: high risk].
  • When the regress source contains [SECTION] rows, keep every ancestor [SECTION] row that contains at least one selected check.
  • Preserve the original regress file order in the generated TXT collection.

Output Contract

Return these sections in this order:

  1. Scope
  • platform
  • repo path
  • regress path
  • current branch
  • compared release tag
  • generated test collection path
  • assumptions and missing inputs
  1. Changed Areas
  • changed modules and user-facing flows
  • branch-level summary with risk notes
  1. Changed Files Without Known QA Area
  • list unmatched files or the most important unmatched subset
  • explain probable impact
  • suggest focused tests
  1. Run These Existing Regression Blocks
  • list concrete blocks or cases from regress.txt
  • when there are only a few relevant existing cases, list each case on its own row
  • explain why each block matters for this diff
  1. Add These Missing Blocks
  • propose new regression blocks or case groups missing from regress.txt
  • explain what code change created the need
  1. Additional Checks
  • targeted exploratory checks, integrations, edge cases, and non-functional risks
  1. Open Questions
  • anything blocking confidence

Also mirror the same content into the Markdown report file with the same section order. Also generate a TXT test collection with the recommended tests for this run. Also include the unmatched-file test suggestions, Missing Blocks, and Additional Checks in the generated TXT collection.

Report File Rules

  • Template path: tk-impact-analysis/report.md
  • Default run report path: tk-impact-analysis/reports/<execution-date>/Web/report.md
  • Default raw git bundle path: tk-impact-analysis/reports/<execution-date>/Web/raw-git-data.txt
  • Use the root report.md as the template only.
  • Write actual analysis results into the dated run report path.
  • Do not delete unrelated notes outside the standard analysis sections.
  • If the run report already has the standard headings, replace only the section bodies.
  • Make the file readable: # and ## headings, short summary bullets, one idea per bullet, file paths and case ids in backticks.

TXT Test Collection Rules

  • Template path: tk-impact-analysis/test-collection-template.txt
  • Default run test collection path: tk-impact-analysis/reports/<execution-date>/Web/test-collection.txt
  • Language: write all test cases in English — the same language as sources/Web/regress.txt. Do not mix languages within a file.
  • Keep the structure compatible with sources/Web/regress.txt:
    • one test or block per line
    • indentation defines nesting
    • no CSV headers or metadata rows
  • Include only the recommended test subset for the specific analysis.
  • Include:
    • existing regress rows selected for this run
    • suggested tests for unmatched files
    • Missing Blocks
    • Additional Checks
  • Prefer this line style:
    • block line: Send TON
    • child line: Send TON to an address with a comment [regress: 12]

Quality Bar

  • Be opinionated and risk-based, not exhaustive for its own sake.
  • Prefer concrete test intent over generic QA advice.
  • Prefer module names and user flows over generic type-based guesses.
  • Tie every recommendation back to changed files, changed behavior, or a clear coverage gap.
  • If regress.txt is missing, say so plainly instead of inventing analysis.

© tonkeeper, 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

SKILL.md and 8 other files (scripts, references) in .codex/skills/tk-impact-analysis of tonkeeper/tonkeeper-web.

  • SKILL.md
  • .gitignore
  • README.md
  • references/excluded-qa-impact-paths.txt
  • references/prompt-template.md
  • references/required-data.md
  • report.md
  • scripts/tk_impact_analysis.py
  • test-collection-template.txt

Open the folder on GitHubat commit d7ea321

Compare with similar skills

Tk Impact 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.

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SetupProrise-cool/Claude-Code-Multi-Agent305—~3kAutomated safety check: NotesNone
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Categories

Questions about Tk Impact Analysis

What does Tk Impact Analysis do?

Analyze QA regression impact for Tonkeeper Web by comparing the current branch with the relevant release tag, reviewing sources/Web/regress.txt, and recommending test blocks, missing coverage, extra…. Tk Impact Analysis is an agent skill from tonkeeper/tonkeeper-web.txt, and recommending test blocks, missing coverage, extra checks, and a generated TXT test collection.

When should I use Tk Impact Analysis?

Tk Impact Analysis fits situations like: development work in your project.

How do I install Tk Impact Analysis in Claude Code?

Run `npx skills add tonkeeper/tonkeeper-web --skill tk-impact-analysis -a claude-code`. Or copy the skill folder (.codex/skills/tk-impact-analysis in tonkeeper/tonkeeper-web) into .claude/skills/tk-impact-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Tk Impact Analysis in Codex?

Run `npx skills add tonkeeper/tonkeeper-web --skill tk-impact-analysis -a codex`. Or copy the skill folder (.codex/skills/tk-impact-analysis in tonkeeper/tonkeeper-web) into .agents/skills/tk-impact-analysis in your project. Codex loads it when a task matches its description.

Can I use Tk Impact 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 tonkeeper/tonkeeper-web --skill tk-impact-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/tk-impact-analysis, .gemini/skills/tk-impact-analysis, .github/skills/tk-impact-analysis and .opencode/skills/tk-impact-analysis in your project.

What does Tk Impact Analysis need to run?

Going by SKILL.md and its folder, Tk Impact Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (git and python3). Our summary lists: Python 3.

Does Tk Impact Analysis access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Tk Impact Analysis 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tk Impact Analysis use?

Tk Impact 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 Tk Impact Analysis use?

About 3.7k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.

What are the alternatives to Tk Impact Analysis?

Skills that share tags, products or a category with Tk Impact Analysis: Antigravity CLI Statusline (AndyAWD/antigravity-cli-statusline, 100 stars), Gridbash Panes (jasonsuhari/gridbash, 134 stars), Setup (Prorise-cool/Claude-Code-Multi-Agent, 305 stars) and Commit (manhpham90vn/Deskhub, 133 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tk Impact Analysis?

tonkeeper (a GitHub organization) maintains it in tonkeeper/tonkeeper-web, which has 444 GitHub stars. The repository was last updated on October 2, 2026.

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