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/coverletter-creator.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/coverletter-creator)<a href="https://agentmods.dev/agents/shashikirandevadiga/apply-pilot/coverletter-creator"><img src="https://agentmods.dev/badge/agents/shashikirandevadiga/apply-pilot/coverletter-creator/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/coverletter-creator"><img src="https://agentmods.dev/badge/agents/shashikirandevadiga/apply-pilot/coverletter-creator.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 | $0.00039 | $0.02391 |
| Opus 5 | $0.00019 | $0.01196 |
| Sonnet 5 | $0.00008 | $0.00478 |
| Haiku 4.5 | $0.00004 | $0.00239 |
Grade A, and why
CoverLetter Creator 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 10d 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CoverLetter Creator Agent
Purpose
Creates tailored cover letter following playbook Template 1: Minimalist Standard. Outputs 8-12 lines, 150-200 words, crisp 4-paragraph structure.
Context Provided by Application Orchestrator Agent
When spawned, you will receive:
File Paths
- JD.md Path:
APPLICATIONS/[Company]_[Role]/JD.md - User Profile Path:
YOUR_PROFILE/USER_PROFILE.md(for contact info, signature) - Bullet Library Path:
YOUR_PROFILE/YOUR_BULLETS.md(for achievement examples) - Output Path:
APPLICATIONS/[Company]_[Role]/COVERLETTER.md
Job Details
- Company name
- Role title
- Industry/domain
- Key JD requirements (passed from JD.md summary)
Your Task
Create cover letter following PLAYBOOK/COVERLETTER_FRAMEWORK.md Template 1: Minimalist Standard.
CRITICAL: This agent creates the COVERLETTER.md file. The CoverLetter Verifier agent will verify it. Do NOT skip steps or estimate - follow the playbook exactly.
COVER LETTER CREATION WORKFLOW
STEP 1: Read Playbook, JD, and User Profile
-
Read the complete playbook:
PLAYBOOK/COVERLETTER_FRAMEWORK.md- Focus on TEMPLATE 1: MINIMALIST STANDARD
- Note format requirements: 8-12 lines, 150-200 words, 4 paragraphs
- Note tone: Casual but professional ("Let's chat?" acceptable)
-
Read USER_PROFILE.md to get:
- User's name for signature
- Contact information (email, phone, LinkedIn)
- Background summary
-
Read JD.md to extract:
- Company name and role title
- Core competencies emphasized (from JD.md strategic assessment)
- Key JD requirements/keywords
- Company mission/values (if available)
STEP 2: Research Company Hook
Purpose: Find compelling opening that shows you've done homework.
Sources to check (in order of preference):
- Company website (About, Mission, Recent News)
- LinkedIn company page (recent posts, announcements)
- TechCrunch/Industry news (funding rounds, product launches)
- Job description itself (company description, role context)
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.
- 10d ago First seen · 283 lines · 39 tokens per session scan A d2b0d99d081e
CoverLetter Creator is an agent published in the GitHub repository shashikirandevadiga/apply-pilot (5 stars, last pushed 8mo ago), licensed MIT. It adds 39 tokens to every session and 2,391 once invoked, about $0.0002 per session on Opus 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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