Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
A skill your agent uses when a Token Meter change needs independent requirements, correctness, regression, privacy, or cross-surface review.
Install Token Meter Review
$ npx skills add splunk/token-meter --skill token-meter-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install splunk/token-meter token-meter-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/splunk/token-meter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/token-meter-review .claude/skills/token-meter-review && rm -rf skills-srcUse ~/.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/
Install the "token-meter-review" agent skill from https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-review into .claude/skills/token-meter-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-meter-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add splunk/token-meter --skill token-meter-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install splunk/token-meter token-meter-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/splunk/token-meter.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/token-meter-review .agents/skills/token-meter-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "token-meter-review" agent skill from https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-review into .agents/skills/token-meter-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-meter-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add splunk/token-meter --skill token-meter-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install splunk/token-meter token-meter-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/splunk/token-meter.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/token-meter-review .cursor/skills/token-meter-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "token-meter-review" agent skill from https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-review into .cursor/skills/token-meter-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-meter-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/splunk/token-meter.git --path .agents/skills/token-meter-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add splunk/token-meter --skill token-meter-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install splunk/token-meter token-meter-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/splunk/token-meter.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/token-meter-review .gemini/skills/token-meter-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "token-meter-review" agent skill from https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-review into .gemini/skills/token-meter-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-meter-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install splunk/token-meter token-meter-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add splunk/token-meter --skill token-meter-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/splunk/token-meter.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/token-meter-review .github/skills/token-meter-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "token-meter-review" agent skill from https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-review into .github/skills/token-meter-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-meter-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add splunk/token-meter --skill token-meter-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install splunk/token-meter token-meter-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/splunk/token-meter.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/token-meter-review .opencode/skills/token-meter-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "token-meter-review" agent skill from https://github.com/splunk/token-meter/tree/main/.agents/skills/token-meter-review into .opencode/skills/token-meter-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "token-meter-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
token-meter-review- GitHub stars
- 113
- Token cost
- ~686 tokens
- SKILL.md length
- 332 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when a Token Meter change needs independent requirements, correctness, regression, privacy, or cross-surface review.
- A Token Meter change needs independent requirements
- SKILL.md covers Purpose, Inputs, Review and Findings ledger, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Cross-surface review
What it does
Token Meter Review is an agent skill from splunk/token-meter. Use when a Token Meter change needs independent requirements, correctness, regression, privacy, or cross-surface review.
Its SKILL.md is about 690 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 AI & LLM Engineering. The repository describes itself as: Open-source, local-first AI coding agent usage and cost dashboard for Claude Code, Codex, Cursor, OpenCode, Kiro, and Pi. The licence is MIT.
When your agent uses it
- A Token Meter change needs independent requirements
- Cross-surface review
Example prompts
- “/token-meter-review”
What it can do on your machine
Read from SKILL.md and the folder at commit f34c78b. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Token Meter Review loads about 686 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 332 words of instructions outside code blocks.
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); files beside SKILL.md are not scanned.
SKILL.md
The full file from splunk/token-meter at commit f34c78b, republished under its MIT licence (© splunk). 332 words, ~686 tokens.
Download SKILL.mdSave it as
.claude/skills/token-meter-review/SKILL.md (or your agent's skills folder).- name
- token-meter-review
- description
- Use when a Token Meter change needs independent requirements, correctness, regression, privacy, or cross-surface review.
Token Meter Review
Purpose
Review the current base-to-head change independently and return findings first. Do not modify tracked files or silently repair an issue while acting as reviewer.
Inputs
Require the task envelope, acceptance criteria, base and head commits, diff, developer
result, tester evidence when available, assigned lens, and
.agents/workflow/review-policy.yaml. If the head or requirements are ambiguous,
report the review blocked rather than reviewing a guessed target.
Review
Trace the changed execution paths and inspect:
- Requirement and acceptance-criteria coverage.
- Correctness, errors, empty and stale data, concurrency, deletion, and upgrades.
- Callers and consumers of changed or removed helpers.
- Backend, dashboard, native, installer, runtime-manifest, and documentation effects.
- Runtime/provider identity and measured-versus-estimated semantics.
- Local-only privacy boundaries and sanitized projections.
- Compatibility routes, settings, migrations, and platform-specific behavior.
- Whether tests can pass on fixtures while real upstream or installed behavior fails.
- Dashboard styling against
specs/DESIGN.md. Look for each of these:- a hard-coded value where a token or component exists
- a new per-screen copy of an existing component
- provider colors outside
--provider-* - a ratchet or allowlist that grew
- text below 11px or under 4.5:1 contrast
- an unlisted visual delta
Standard changes require one project reviewer. High-risk changes require at least two project-reviewer results with distinct assigned lenses. Hosted reviews are advisory and do not replace this gate.
For external feedback, REQUIRED SUB-SKILL: Use
superpowers:receiving-code-review. Verify the claim against the repository and
requirements before accepting a fix.
Findings ledger
Each finding has severity, a concise causal explanation, tight file and line evidence,
affected behavior, and an owner. Use blocking, important, or minor. Do not inflate
style preferences into correctness findings. If no actionable problem remains, return
an explicit empty findings ledger instead of inventing issues.
Allowed dispositions are fixed, disproved with evidence, accepted by the owner, or externally blocked. A reviewer cannot disposition its own finding by editing code.
Reviewer result
Return assigned lens, reviewed base and head, findings, acceptance-criteria gaps, test-evidence gaps, unverified behavior, and recommended next state. Any later tracked code or test change invalidates this result.
© splunk, MIT. 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 .agents/skills/token-meter-review of splunk/token-meter.
Open the folder on GitHubat commit f34c78b
Compare with similar skills
Token Meter Review 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Token Meter Review this skillsplunk/token-meter | 113 | — | ~686 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| Peft Fine TuningOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.8k | 15 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Token Meter Development
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A skill your agent uses when a Token Meter issue or approved feature needs diagnosis or implementation in the repository.
Token Meter GitHub Ops
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A skill your agent uses when Token Meter GitHub issues, pull requests, review requests, checks, comments, merges, or closure need to be managed.
Token Meter Verification
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Related
Categories
Questions about Token Meter Review
What does Token Meter Review do?
A skill your agent uses when a Token Meter change needs independent requirements, correctness, regression, privacy, or cross-surface review. Token Meter Review is an agent skill from splunk/token-meter. Use when a Token Meter change needs independent requirements, correctness, regression, privacy, or cross-surface review.
When should I use Token Meter Review?
Token Meter Review fits situations like: A Token Meter change needs independent requirements; cross-surface review.
How do I install Token Meter Review in Claude Code?
Run `npx skills add splunk/token-meter --skill token-meter-review -a claude-code`. Or copy the skill folder (.agents/skills/token-meter-review in splunk/token-meter) into .claude/skills/token-meter-review in your project. Claude Code loads it when a task matches its description.
How do I install Token Meter Review in Codex?
Run `npx skills add splunk/token-meter --skill token-meter-review -a codex`. Or copy the skill folder (.agents/skills/token-meter-review in splunk/token-meter) into .agents/skills/token-meter-review in your project. Codex loads it when a task matches its description.
Can I use Token Meter Review 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 splunk/token-meter --skill token-meter-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/token-meter-review, .gemini/skills/token-meter-review, .github/skills/token-meter-review and .opencode/skills/token-meter-review in your project.
What does Token Meter Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Token Meter Review is instructions for the agent only.
Does Token Meter Review access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Token Meter Review 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. Review the folder before installing.
What licence does Token Meter Review use?
Token Meter Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Token Meter Review use?
About 686 tokens (SKILL.md is roughly 2.7k 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 Token Meter Review?
Skills that share tags, products or a category with Token Meter Review: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), Peft Fine Tuning (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Token Meter Review?
splunk (a GitHub organization) maintains it in splunk/token-meter, which has 113 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 7, 2026.
Source: splunk/token-meter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.