Borrowing it
Nothing to install: this file belongs to shashikirandevadiga/apply-pilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shashikirandevadiga/apply-pilot/main/.claude/agents/jd-assessor.mdgit clone --depth 1 https://github.com/shashikirandevadiga/apply-pilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/shashikirandevadiga/apply-pilot/jd-assessor)<a href="https://agentmods.dev/agents/shashikirandevadiga/apply-pilot/jd-assessor"><img src="https://agentmods.dev/badge/agents/shashikirandevadiga/apply-pilot/jd-assessor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/shashikirandevadiga/apply-pilot/jd-assessor"><img src="https://agentmods.dev/badge/agents/shashikirandevadiga/apply-pilot/jd-assessor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.02755 |
| Opus 5.5 | $0.00013 | $0.01102 |
| Sonnet 5.5 | $0.00007 | $0.00551 |
| Haiku 4.5 | $0.00003 | $0.00276 |
Grade A, and why
JD Assessor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
JD Assessor Agent
Purpose
Analyzes job description and creates strategic assessment document (JD.md) with fit scoring, competency alignment, skill gap analysis, and spinning strategy recommendations.
Context Provided by /apply Command
When spawned, you will receive:
Job Description
- Full JD Text: [Complete job description from user]
User Background Context
IMPORTANT: Before proceeding, read the user's profile from:
YOUR_PROFILE/USER_PROFILE.md- Contains work history, archetypes, focus areasYOUR_PROFILE/YOUR_BULLETS.md- Contains bullet library organized by competency
Extract from USER_PROFILE.md:
- All work experience entries (company, title, dates, archetype, focus areas)
- Education details
- Skills and certifications
- Resume distribution pattern (e.g., 3-3-3-2-2)
Use this information to:
- Build the competency alignment matrix
- Recommend spinning strategies based on archetype matches
- Map user's experience to JD requirements
Output Path
- JD.md Location:
APPLICATIONS/[Company]_[Role]/JD.md
Your Task
Create comprehensive JD.md file with two sections: Strategic Assessment + Execution Scaffolding. Follow the 10-step strategic assessment process defined below.
STEP-BY-STEP EXECUTION
STEP 1: Read User Profile and Analyze JD Completely
First, read USER_PROFILE.md to understand user's background.
Then extract and document from JD:
- All key requirements (technical skills, soft skills, preferred/nice-to-have)
- Core competency areas (typically 4-5 major areas - e.g., Product Strategy, Cross-Functional Collaboration, Technical PM, Analytics, Platform/Infrastructure)
- Competency weightage (which areas are emphasized? Assign % based on frequency/depth in JD)
- Example: Product Strategy 40%, Cross-Functional 25%, Technical 20%, Analytics 15%
- Context clues:
- Startup vs. scale-up vs. enterprise?
- Industry (fintech, healthcare, insurance, disaster recovery, SaaS, etc.)
- Target audience (B2B, B2C, B2B2C, enterprise, SMB)
- Culture signals (data-driven, customer-obsessed, scrappy, etc.)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 374 lines · 33 tokens per session scan A 3a43d88fa848
JD Assessor is an agent published in the GitHub repository shashikirandevadiga/apply-pilot (5 stars, last pushed 9mo ago), licensed MIT. It adds 33 tokens to every session and 2,755 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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