io.github.vpatser1/resume-optimizer
NPM · RESUME-OPTIMIZER · SCANNED AUG 7
Resume analysis, ATS compatibility checks, bullet improvements, job-tailored optimization
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security87
- No malware found by supply-chain analysis.Pass
- Known CVEs were checked across the 95 of 99 dependencies we could resolve, so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Dependency health was assessed across the 95 of 99 dependencies we could resolve, so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 3 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability80
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 631 tokens (~105/item across 6 items; 6 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · resume-optimizer
claude mcp add vpatser1-resume-optimizer -- npx -y resume-optimizer
codex mcp add vpatser1-resume-optimizer -- npx -y resume-optimizer
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"vpatser1-resume-optimizer": {
"type": "local",
"command": [
"npx",
"-y",
"resume-optimizer"
],
"enabled": true
}
}
} openclaw mcp add vpatser1-resume-optimizer --command npx --arg -y --arg resume-optimizer
mcp_servers:
vpatser1-resume-optimizer:
command: "npx"
args: ["-y", "resume-optimizer"] {
"mcpServers": {
"vpatser1-resume-optimizer": {
"command": "npx",
"args": [
"-y",
"resume-optimizer"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Aug 26 61
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 7 Aug 2026 · Analysed npm/[email protected]
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Dependencies 95 packages
| Packages resolved | 95 |
|---|---|
| Deprecated | 95 |
| Stale | 29 |
| Tree resolution | Partial |
The dependency tree was only partially resolved, so these counts may be incomplete.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
analyze_keywords ~113
Extract and analyze keywords from resume text. Identifies hard skills, soft skills, tools/technologies, certifications, and action verbs. Assesses industry relevance and keyword density. Optionally target a specific industry (tech, finance, marketing, healthcare) for tailored analysis.
| Name | Type | Req | Description |
|---|---|---|---|
| industry | string | – | Target industry for keyword relevance (e.g., 'tech', 'finance', 'marketing', 'healthcare'). Defaults to general. |
| resume_text | string | yes | The full text content of the resume to analyze for keywords |
No output schema declared.
No examples provided.
analyze_resume ~106
Perform a comprehensive resume analysis. Returns an overall score (0-100), ATS compatibility score, keyword density analysis, action verb usage, quantified achievements count, section completeness check (contact, summary, experience, education, skills), formatting/structure issues, and length assessment. Optionally score against a job description for keyword relevance.
| Name | Type | Req | Description |
|---|---|---|---|
| job_description | string | – | Optional job description to score keyword relevance against |
| resume_text | string | yes | The full text content of the resume to analyze |
No output schema declared.
No examples provided.
check_ats ~91
Deep ATS (Applicant Tracking System) compatibility check. Validates font/formatting recommendations, section header standardization, file format advice, keyword stuffing detection, and contact info parsing. Returns categorized issues (error/warning/info) with fix suggestions, detected vs missing sections, and an overall ATS-readiness rating.
| Name | Type | Req | Description |
|---|---|---|---|
| resume_text | string | yes | The full text content of the resume to check for ATS compatibility |
No output schema declared.
No examples provided.
generate_summary ~108
Generate 2-3 sentence professional summary options from resume text. Produces multiple variants -- confident, technical, and leadership-focused -- tailored to the detected career level (entry/mid/senior/executive). Optionally target a specific role for more focused output.
| Name | Type | Req | Description |
|---|---|---|---|
| resume_text | string | yes | The full text content of the resume to generate a summary from |
| target_role | string | – | The target job title or role to tailor the summary toward (e.g., 'Engineering Manager') |
No output schema declared.
No examples provided.
improve_bullets ~116
Analyze resume bullet points and rewrite them for maximum impact. Checks each bullet for action verb usage, quantified results, specificity, STAR method format (Situation, Task, Action, Result), and appropriate length. Returns before/after comparisons with per-bullet scores and rewrite suggestions using stronger action verbs and quantification.
| Name | Type | Req | Description |
|---|---|---|---|
| bullets | array | yes | Array of bullet point strings to analyze and improve |
| context | string | – | Optional context about the role or industry for more relevant suggestions (e.g., 'software engineering', 'marketing manager') |
No output schema declared.
No examples provided.
optimize_for_job ~97
Match a resume against a specific job description. Identifies matching keywords, finds missing keywords from the job description, suggests bullet point rewrites to match job requirements, calculates a match score (0-100), and highlights transferable skills. Returns detailed gap analysis and actionable improvement suggestions.
| Name | Type | Req | Description |
|---|---|---|---|
| job_description | string | yes | The full text of the job description to optimize against |
| resume_text | string | yes | The full text content of the resume |
No output schema declared.
No examples provided.