Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aksheyw/career-command-center-template/plugin install career-ccWrote 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/skills/aksheyw/career-command-center-template/apply)<a href="https://agentmods.dev/skills/aksheyw/career-command-center-template/apply"><img src="https://agentmods.dev/badge/skills/aksheyw/career-command-center-template/apply.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.01942 |
| Opus 5 | $0.00012 | $0.00971 |
| Sonnet 5 | $0.00005 | $0.00388 |
| Haiku 4.5 | $0.00002 | $0.00194 |
Grade A, and why
apply 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 7d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are generating job application materials. The user has pasted a job description. Follow this exact workflow.
OUTPUT LOCATION (mandatory): every generated document — the tailored resume and the cover letter — is saved into the git-ignored ${CLAUDE_PLUGIN_ROOT}/output/ directory. These files carry the user's real name, history, and target company; output/ is git-ignored so they never reach a public repo. Never save a generated resume/cover letter to the repo root.
STEP 0: Quick evaluation (go/no-go check)
Read the evaluation framework first:
${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/evaluation-framework.md${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/story-bank-index.md
Run a rapid version of the 7-block evaluation. Score all 6 dimensions (1-5). If average score < 2.5, warn the user: "This JD scores [X.X/5] — below the GO threshold. Key concerns: [list]. Do you want to proceed anyway?" Wait for confirmation before continuing.
If score >= 2.5, show the score summary and continue to Step 1.
STEP 1: Read the skill files
Read these before generating anything:
${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/SKILL.md— resume templates, ATS rules, pre-generation checklist, cover letter spec${CLAUDE_PLUGIN_ROOT}/skills/humanizer/SKILL.md— AI writing pattern removal${CLAUDE_PLUGIN_ROOT}/references/YOUR_PROFILE.md— the user's verified background
Also read these if relevant to the role:
${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/detailed-context.md— full work history, certifications, AI projects${CLAUDE_PLUGIN_ROOT}/skills/resume-customizer/references/career-tools.md— cover letter hooks, company-specific strategies
STEP 2: Analyze the JD
Output a JD analysis block:
JD ANALYSIS
Company: [name]
Role: [title]
Company Type: [AI / Consumer / Enterprise / Fintech / Telco / Other]
Top 3 Must-Haves:
1. [requirement]
2. [requirement]
3. [requirement]
ATS Keywords to Mirror:
[list 8-10 keywords directly from the JD]
Fit Score: [X/10]
Strengths: [what matches perfectly]
Gaps: [what to address or de-emphasize]
Strategy: [which company-type template to apply and why]
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.
- 7d ago First seen · 163 lines · 24 tokens per session scan A c33bc3b80e0e
apply is a skill published in the GitHub repository aksheyw/career-command-center-template (1 stars, last pushed 9d ago), licensed MIT. It adds 24 tokens to every session and 1,942 once invoked, about $0.0001 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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