Sync Upstream
nyaruka/phonenumbers
Sync this Go port with a new upstream google/libphonenumber release — regenerate the embedded metadata and reconcile the ported Java logic.
Trace and resolve discrepancies when the same metric shows different values in two or more sources.
Install Metric Reconciliation
$ npx skills add nimrodfisher/data-analytics-skills --skill metric-reconciliation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nimrodfisher/data-analytics-skills metric-reconciliation --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/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/02-documentation-knowledge/metric-reconciliation .claude/skills/metric-reconciliation && 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 "metric-reconciliation" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliation into .claude/skills/metric-reconciliation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-reconciliation", 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/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliationType 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 nimrodfisher/data-analytics-skills --skill metric-reconciliation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nimrodfisher/data-analytics-skills metric-reconciliation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/02-documentation-knowledge/metric-reconciliation .agents/skills/metric-reconciliation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "metric-reconciliation" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliation into .agents/skills/metric-reconciliation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-reconciliation", 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 nimrodfisher/data-analytics-skills --skill metric-reconciliation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nimrodfisher/data-analytics-skills metric-reconciliation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/02-documentation-knowledge/metric-reconciliation .cursor/skills/metric-reconciliation && 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 "metric-reconciliation" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliation into .cursor/skills/metric-reconciliation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-reconciliation", 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/nimrodfisher/data-analytics-skills.git --path 02-documentation-knowledge/metric-reconciliation--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 nimrodfisher/data-analytics-skills --skill metric-reconciliation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nimrodfisher/data-analytics-skills metric-reconciliation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/02-documentation-knowledge/metric-reconciliation .gemini/skills/metric-reconciliation && 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 "metric-reconciliation" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliation into .gemini/skills/metric-reconciliation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-reconciliation", 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 nimrodfisher/data-analytics-skills metric-reconciliationInstalls 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 nimrodfisher/data-analytics-skills --skill metric-reconciliation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/02-documentation-knowledge/metric-reconciliation .github/skills/metric-reconciliation && 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 "metric-reconciliation" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliation into .github/skills/metric-reconciliation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-reconciliation", 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 nimrodfisher/data-analytics-skills --skill metric-reconciliation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nimrodfisher/data-analytics-skills metric-reconciliation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/02-documentation-knowledge/metric-reconciliation .opencode/skills/metric-reconciliation && 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 "metric-reconciliation" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/metric-reconciliation into .opencode/skills/metric-reconciliation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metric-reconciliation", 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
metric-reconciliation- GitHub stars
- 470
- Token cost
- ~626 tokens
- SKILL.md length
- 314 words
- Files
- 4 (incl. scripts, references, assets)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Trace and resolve discrepancies when the same metric shows different values in two or more sources.
- Works in 6 steps: Define the metric and scope — confirm… → Pull values from both sources — extract… → Compute the gap — calculate the absolute… → …
- Tasks that involve Accounting and bookkeeping
- Runs Python scripts from its folder
What it does
Metric Reconciliation is an agent skill from nimrodfisher/data-analytics-skills. Trace and resolve discrepancies when the same metric shows different values in two or more sources. Use before reporting, after pipeline changes, or when stakeholders question a number.
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/reconciliation_report_template.md`, `references/reconciliation_patterns.md` and `scripts/reconcile_metrics.py`).
It sits in Business, Finance & HR, covering Accounting and bookkeeping. The repository describes itself as: A comprehensive list of Claude & Codex skills for a wide range of data analytics tasks. The licence is MIT.
When your agent uses it
- Tasks that involve Accounting and bookkeeping
Example prompts
- “/metric-reconciliation”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Define the metric and scope — confirm the exact definition (numerator, denominator, filters, time zone) and the period under…
- Pull values from both sources — extract the metric values for the same period from each source. Record absolute values, row counts, and…
- Compute the gap — calculate the absolute difference and percentage gap. If the gap is within an agreed tolerance (e.g., ±0.1%), document…
- Trace the computation path — walk each source's query or pipeline step by step. Common divergence points: different join types, filter…
- Identify the root cause — classify the cause using references/metric_discrepancy_guide.md (definition mismatch, data freshness…
- Resolve and document — fix the calculation or accept a canonical source, then complete assets/reconciliation_report_template.md and share…
What it can do on your machine
Read from SKILL.md and the folder at commit 9449d36. 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.
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
Metric Reconciliation loads about 626 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 314 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); the scripts in this folder are not scanned.
SKILL.md
The full file from nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 314 words, ~626 tokens.
Download SKILL.mdSave it as
.claude/skills/metric-reconciliation/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- metric-reconciliation
- description
- Trace and resolve discrepancies when the same metric shows different values in two or more sources. Use before reporting, after pipeline changes, or when stakeholders question a number.
Metric Reconciliation
When to use
- Two dashboards or reports show different values for the same KPI
- A metric changed unexpectedly after a data pipeline update
- Stakeholders question a number and need an authoritative explanation
- Preparing to merge or deprecate a legacy reporting source
- Onboarding analysts to a new data model and validating it against the old one
Process
- Define the metric and scope — confirm the exact definition (numerator, denominator, filters, time zone) and the period under investigation. Mismatched definitions are the most common cause of discrepancy.
- Pull values from both sources — extract the metric values for the same period from each source. Record absolute values, row counts, and the query or calculation path used.
- Compute the gap — calculate the absolute difference and percentage gap. If the gap is within an agreed tolerance (e.g., ±0.1%), document it as accepted and close. See
references/reconciliation_patterns.mdfor tolerance guidelines. - Trace the computation path — walk each source's query or pipeline step by step. Common divergence points: different join types, filter order, null handling, date truncation, or deduplication logic.
- Identify the root cause — classify the cause using
references/metric_discrepancy_guide.md(definition mismatch, data freshness, aggregation grain, calculation bug). Document the divergence point with a code snippet or query excerpt. - Resolve and document — fix the calculation or accept a canonical source, then complete
assets/reconciliation_report_template.mdand share with stakeholders.
Inputs the skill needs
- The metric name and business definition (numerator, denominator, any known variants)
- Access to both sources (queries, dashboard SQL, or raw data)
- The time period showing the discrepancy
- Row counts or record-level data to enable line-by-line comparison if needed
- Any known recent changes to pipelines, schema, or business rules
Output
assets/reconciliation_report_template.md— completed report showing source A vs. source B, the gap, root cause, and resolution status- A corrected query or pipeline change (if a bug was found)
- A documented tolerance agreement (if the gap is acceptable)
© nimrodfisher, MIT. 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 3 other files (scripts, references, assets) in 02-documentation-knowledge/metric-reconciliation of nimrodfisher/data-analytics-skills.
- SKILL.md
- assets/reconciliation_report_template.md
- references/reconciliation_patterns.md
- scripts/reconcile_metrics.py
Open the folder on GitHubat commit 9449d36
Compare with similar skills
Metric Reconciliation 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 |
|---|---|---|---|---|---|---|
| Metric Reconciliation this skillnimrodfisher/data-analytics-skills | 470 | — | ~626 | Automated safety check: Pass | MIT | |
| Sync Upstreamnyaruka/phonenumbers | 1.6k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Radiology Tablehuang-sir1/radiology-skills | 1.9k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| ERPClaw ERP Controlleravansaber/erpclaw | 116 | — | ~18k | Automated safety check: Pass | GPL-3.0 | |
| Odoo Agency Fleet Reviewerpipe-org/mcp-odoo | 421 | — | ~699 | Automated safety check: Pass | MIT | |
| Beancount Closebex-co/beancount-io | 297 | — | ~1.4k | Automated safety check: Pass | MIT |
Similar skills
Radiology Table
huang-sir1/radiology-skills
Create/audit editable publication tables with source reconciliation; not figures or statistical inference.
ERPClaw ERP Controller
avansaber/erpclaw
Operates the ERPClaw self-hosted ERP in plain language: accounting, invoicing, inventory, purchasing, tax, HR, payroll and reports, treating the ERP as the single source of truth.
Odoo Agency Fleet Review
erpipe-org/mcp-odoo
Review many client Odoo databases at once through odoo-mcp's cross-instance tools — fleet-wide accounting health, per-client aging, partial-failure triage — for agencies and partners managing 5–50…
Beancount Close
bex-co/beancount-io
Close an accounting period in a Beancount ledger by reconciling each active account through beancount-reconcile, checking assertions and recurring gaps, reviewing flags, then proposing a commit with…
Forward Implementation First
Vuk97/forward-implementation-first
Keeps an agent building and validating real output instead of servicing its own bookkeeping.
More from nimrodfisher/data-analytics-skills
All 31 skills in this repoAb Test Analysis
nimrodfisher/data-analytics-skills
Rigorous A/B test statistical analysis. An agent skill from nimrodfisher/data-analytics-skills.
Analysis Assumptions Log
nimrodfisher/data-analytics-skills
Track and document analytical assumptions and decisions. An agent skill from nimrodfisher/data-analytics-skills.
Analysis QA Checklist
nimrodfisher/data-analytics-skills
Pre-delivery quality assurance for analysis work. An agent skill from nimrodfisher/data-analytics-skills.
Business Metrics Calculator
nimrodfisher/data-analytics-skills
Standard business metric calculation with industry benchmarks.
Cohort Analysis
nimrodfisher/data-analytics-skills
Time-based cohort analysis with retention and behaviour tracking.
Context Packager
nimrodfisher/data-analytics-skills
Efficiently package context for AI-assisted analysis. An agent skill from nimrodfisher/data-analytics-skills.
Related
Categories
Questions about Metric Reconciliation
What does Metric Reconciliation do?
Trace and resolve discrepancies when the same metric shows different values in two or more sources. Metric Reconciliation is an agent skill from nimrodfisher/data-analytics-skills. Trace and resolve discrepancies when the same metric shows different values in two or more sources.
When should I use Metric Reconciliation?
Metric Reconciliation fits situations like: tasks that involve Accounting and bookkeeping.
How do I install Metric Reconciliation in Claude Code?
Run `npx skills add nimrodfisher/data-analytics-skills --skill metric-reconciliation -a claude-code`. Or copy the skill folder (02-documentation-knowledge/metric-reconciliation in nimrodfisher/data-analytics-skills) into .claude/skills/metric-reconciliation in your project. Claude Code loads it when a task matches its description.
How do I install Metric Reconciliation in Codex?
Run `npx skills add nimrodfisher/data-analytics-skills --skill metric-reconciliation -a codex`. Or copy the skill folder (02-documentation-knowledge/metric-reconciliation in nimrodfisher/data-analytics-skills) into .agents/skills/metric-reconciliation in your project. Codex loads it when a task matches its description.
Can I use Metric Reconciliation 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 nimrodfisher/data-analytics-skills --skill metric-reconciliation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metric-reconciliation, .gemini/skills/metric-reconciliation, .github/skills/metric-reconciliation and .opencode/skills/metric-reconciliation in your project.
What does Metric Reconciliation need to run?
Going by SKILL.md and its folder, Metric Reconciliation needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Metric Reconciliation 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 Metric Reconciliation 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 Metric Reconciliation use?
Metric Reconciliation 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 Metric Reconciliation use?
About 626 tokens (SKILL.md is roughly 2.5k 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 617 tokens, read only when the agent opens those files.
What are the alternatives to Metric Reconciliation?
Skills that share tags, products or a category with Metric Reconciliation: Sync Upstream (nyaruka/phonenumbers, 1.6k stars), Radiology Table (huang-sir1/radiology-skills, 1.9k stars), ERPClaw ERP Controller (avansaber/erpclaw, 116 stars) and Odoo Agency Fleet Review (erpipe-org/mcp-odoo, 421 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metric Reconciliation?
nimrodfisher (a GitHub user) maintains it in nimrodfisher/data-analytics-skills, which has 470 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 25, 2026.
Source: nimrodfisher/data-analytics-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.