Borrowing it
Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. 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/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/wrds-ssh/SKILL.mdgit clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricingWrote 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/alexander-m-dickerson/ai-asset-pricing/wrds-ssh)<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/wrds-ssh"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/wrds-ssh/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/skills/alexander-m-dickerson/ai-asset-pricing/wrds-ssh"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/wrds-ssh.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 | $0.00071 | $0.01718 |
| Opus 5 | $0.00036 | $0.00859 |
| Sonnet 5 | $0.00014 | $0.00344 |
| Haiku 4.5 | $0.00007 | $0.00172 |
Grade C, and why
wrds-ssh scanned grade C with 1 finding 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 11d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Clean up scratch: `ssh wrds 'rm -rf ~/scratch/temp*'` How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WRDS SSH Connection Skill
This skill provides guidance on connecting to and working with WRDS (Wharton Research Data Services) servers via SSH.
Examples
/wrds-ssh-- connect to WRDS and explore the server/wrds-ssh submit analysis.sas-- upload and submit a SAS job/wrds-ssh download ~/scratch/output.csv-- transfer results back
Connection
The SSH connection to WRDS is pre-configured. Connect using:
ssh wrds
This connects to the WRDS cloud server (wrds-cloud-sshkey.wharton.upenn.edu) via the ~/.ssh/config host alias.
WRDS Paths
- Home directory:
~(on WRDS) - Scratch directory:
~/scratch(symlink — see CLAUDE.md setup instructions)
All SSH commands use single quotes to avoid local shell expansion. Paths like ~/scratch/ expand on the remote side.
Running Commands on WRDS
Interactive Session
For quick commands or testing:
ssh wrds "command_here"
Running SAS Code
IMPORTANT: On WRDS Cloud, you cannot run sas directly. You must use qsas which submits jobs to the Grid Engine queue. Jobs run asynchronously.
Step 1: Create the SAS program file on WRDS:
ssh wrds 'cat > ~/scratch/myprogram.sas << EOF
options nonotes nosource;
proc contents data=crsp.dsf; run;
EOF'
Step 2: Submit the job:
ssh wrds 'qsas ~/scratch/myprogram.sas'
This returns immediately with a job ID (e.g., Your job 12345678 ("myprogram.sas") has been submitted).
Step 3: Wait for completion and check output:
# Check if job is still running
ssh wrds 'qstat -u $(whoami)'
# Once complete, check the log for errors
ssh wrds 'tail -50 ~/scratch/myprogram.log'
# View the listing output
ssh wrds 'cat ~/scratch/myprogram.lst'
Output files: SAS creates .log and .lst files in the same directory as the .sas file.
NOTE: The -sync y option does NOT work on WRDS Cloud. Jobs are always asynchronous. Use sleep or poll qstat to wait for completion.
Running SQL Queries (PostgreSQL)
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.
- 11d ago First seen · 232 lines · 71 tokens per session scan C 55dfdd13821e
wrds-ssh is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 1,718 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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