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resume-quantifier

skill · paramchoudhary/resumeskillsMIT licenceAudited 31 Oct 2026 · source a01a853af83c

★ 2,969pushed 134 days ago
!CAUTIONGrade B · 89/100 · 5 findings · a01a853
2,969repo stars · whole paramchoudhary/resumeskills

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit a01a853af83c and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 5 findings, 0 critical or high. What it does: Find opportunities to add metrics and estimate numbers when exact data unavailable

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Cite this page

ModelsAtlas. “resume-quantifier (paramchoudhary/resumeskills)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/paramchoudhary/resume-quantifier

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100!CAUTION B
0 critical0 high5 medium0 low0 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN5
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (5)

Audit 0.4.1 · source sha a01a853af83c · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherparamchoudhary GitHub userOwner of the repository this skill is read from
  • Source folderparamchoudhary/resumeskills/skills/resume-quantifierThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdicta01a853af83cA new audit runs when the source changes
  • Repository statusNot archivedLast push 134 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Find opportunities to add metrics and estimate numbers when exact data unavailable

---
name: resume-quantifier
description: Find opportunities to add metrics and estimate numbers when exact data unavailable
---

# Resume Quantifier

## When to Use This Skill

Use this skill when the user:
- Needs to add metrics and numbers to their resume
- Has bullets without quantifiable results
- Doesn't know what numbers to include
- Says they "don't have metrics" or "can't measure impact"
- Mentions: "add metrics", "quantify", "add numbers", "measure impact", "no data"

## Core Capabilities

- Find hidden metrics in any experience
- Estimate numbers when exact data unavailable
- Create before/after comparisons
- Identify measurable impact points
- Transform vague statements into quantified achievements
- Guide users to discover their metrics

## Why Quantification Matters

**The Problem:**
- "Managed projects" vs "Managed 12 projects worth $2M"
- "Improved processes" vs "Reduced cycle time by 40%"
- "Helped customers" vs "Resolved 50+ tickets daily with 98% satisfaction"

**Studies Show:**
- Resumes with numbers get 30% more attention
- Quantified bullets are 40% more memorable
- Numbers provide credibility and scale

## The Quantification Framework

### Categories of Metrics

**1. Money**
- Revenue generated
- Costs reduced/saved
- Budget managed
- Deal sizes closed
- Profit margins improved

**2. Time**
- Hours saved
- Cycle time reduced
- Project duration
- Response times
- Time to market

**3. Percentages**
- Growth rates
- Improvement percentages
- Efficiency gains
- Error reduction
- Conversion rates

**4. Volume/Scale**
- Number of customers/users
- Projects managed
- Team size
- Transactions processed
- Items produced

**5. Quality**
- Satisfaction scores
- Error rates
- Accuracy rates
- Compliance rates
- SLA adherence

**6. Frequency**
- Per day/week/month
- Annual totals
- Meeting cadences
- Report cycles

## Finding Hidden Metrics

### The Discovery Questions

For any experience, ask:

**Scale Questions:**
- How many people/projects/customers?
- What was the budget/revenue involved?
- How large was the team?
- How many locations/regions?

**Impact Questions:**
- What changed because of your work?
- What would have happened without you?
- What problems did you solve?
- What got better/faster/cheaper?

**Comparison Questions:**
- How was it before vs. after?
- How did you compare to others/previous results?
- What was the baseline you improved?

### Role-Specific Metric Discovery

**Sales:**
- Quota attainment percentage
- Revenue generated
- Number of deals closed
- Average deal size
- Pipeline generated
- New accounts acquired
- Retention rate

**Marketing:**
- Leads generated
- Campaign ROI
- Engagement rates
- Follower growth
- Website traffic increase
- Conversion rates
- Brand awareness metrics

**Customer Service:**
- Tickets resolved per day
- Customer satisfaction score
- Average response time
- First call resolution rate
- NPS score contribution

**Operations:**
- Efficiency improvements
- Cost reductions
- Process cycle times
- Error rate reductions
- Throughput increases

**Engineering:**
- System uptime
- Performance improvements
- Bug resolution rate
- Deployment frequency
- Code coverage

**Project Management:**
- Number of projects
- Budget sizes
- Team sizes
- On-time delivery rate
- Stakeholders managed

**HR/Admin:**
- Hiring numbers
- Time to fill
- Employee satisfaction scores
- Training completion rates
- Onboarding efficiency

## Estimation Techniques

When you don't have exact numbers:

### Conservative Estimation

**Principle:** Estimate low to maintain credibility

**Example:**
- You think you saved 100 hours/month → say "75+ hours"
- You think growth was 50% → say "~40%"
- You think you served 500 customers → say "400+"

### Range Estimation

**Format:** "X-Y" or "X to Y"

**Examples:**
- "Managed team of 8-12"
- "Generated $100K-$150K in revenue"
- "Saved 20-30 hours weekly"

### Minimum Bound

**Format:** "X+" or "at least X"

**Examples:**
- "Served 100+ customers daily"
- "Managed at least 15 concurrent projects"
- "Generated $500K+ in annual revenue"

### Percentage of Activity

**Format:** Calculate from known totals

**Example:**
- Company had 1000 customers → You managed 20% → "Managed 200 customer accounts"
- Team had 10 people → You supervised 4 → "Supervised 40% of team"

### Time-Based Calculation

**Format:** Work backwards from frequency

**Example:**
- Met with 5 clients/week × 50 weeks = "Consulted with 250+ clients annually"
- Processed 30 invoices/day × 250 days = "Processed 7,500+ invoices annually"

## Quantification Templates

### Before and After Template
```
"Improved [X] from [before number] to [after number], resulting in [Y]% improvement"

Example:
"Improved page load time from 8 seconds to 2 seconds, resulting in 75% reduction and 20% increase in user engagement"
```

### Scale Template
```
"[Verb] [number] [things], resulting in [impact]"

Example:
"Managed 25 concurrent projects worth $3M, delivering 95% on-time with zero budget overruns"
```

### Volume + Impact Template
```
"Processed [number] [items] per [time period], achieving [quality metric]"

Example:
"Resolved 50+ customer tickets daily, maintaining 98% satisfaction rating and 4-hour average response time"
```

### Comparison Template
```
"Ranked #[X] out of [Y] in [metric], [context]"

Example:
"Ranked #2 out of 45 sales representatives nationally, generating $3.2M in annual revenue"
```

## Common "I Have No Numbers" Situations

### Situation 1: "I was just one person on a team"

**Solution:** Focus on YOUR contribution

**Example:**
- "Part of team that launched product" →
- "Contributed 40% of front-end code for product launch reaching 100K users"

### Situation 2: "I don't have access to business metrics"

**Solution:** Quantify activities and inputs

**Example:**
- "Supported sales team" →
- "Created 50+ sales presentations and managed pipeline of 200+ prospects in Salesforce"

### Situation 3: "My job didn't produce measurable outcomes"

**Solution:*

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit a01a853

Download folder ↗
git clone https://github.com/paramchoudhary/resumeskills
git -C resumeskills checkout a01a853af83c

The author documents no install command, so this uses the repository directly. Our verdict covers commit a01a853af83c only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source a01a853af83c

README badge

For maintainers · shows the latest audit

ModelsAtlas: CAUTION BMODELSATLASCAUTION · B
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Questions about resume-quantifier

What does the resume-quantifier skill do?
A collection of AI agent skills focused on resume optimization, job applications, and career development. Built for job seekers, career changers, and professionals who want Claude Code to help with resume writing, ATS optimization, interview prep, and strategic job search.
Is resume-quantifier safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can resume-quantifier access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (a01a853af83c), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

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