Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/fcakyon/phd-skillsWrote 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/commands/fcakyon/phd-skills/setup)<a href="https://agentmods.dev/commands/fcakyon/phd-skills/setup"><img src="https://agentmods.dev/badge/commands/fcakyon/phd-skills/setup/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/commands/fcakyon/phd-skills/setup"><img src="https://agentmods.dev/badge/commands/fcakyon/phd-skills/setup.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 | $0.00030 | $0.01778 |
| Opus 5.5 | $0.00012 | $0.00711 |
| Sonnet 5.5 | $0.00006 | $0.00356 |
| Haiku 4.5 | $0.00003 | $0.00178 |
Grade C, and why
setup scanned grade C with 3 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 6d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
- **ntfy.sh**: ask for topic name, write to `.env` as `NTFY_TOPIC=<topic>`. Test with `curl -d "phd-skills test" ntfy.sh/<topic>` Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- **Suppress a hook**: edit `~/.claude/settings.json` and set `"hooks.<event>.<matcher>.disabled": true` (Claude Code's standard mechanism) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **ntfy.sh**: ask for topic name, write to `.env` as `NTFY_TOPIC=<topic>`. Test with `curl -d "phd-skills test" ntfy.sh/<topic>` How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PHD-Skills Setup
The plugin works correctly the moment it is installed. Most users never need to run setup. This command exists to (1) show what was auto-detected on the user's system, and (2) let users opt into a few extras (notifications, allowlist, project CLAUDE.md, LaTeX).
Step 0: Auto-detection tour (always run first)
Before asking any questions, print what the plugin already knows. No prompts, no decisions, just visibility.
Run these probes silently and present the results:
# System timezone
sys_tz=$(date +%Z)
sys_tz_long=$(readlink /etc/localtime 2> /dev/null | sed 's|.*zoneinfo/||')
# Last few long-job launches the plugin would have flagged
recent_launches=$(history 200 2> /dev/null | grep -E '(python.*train|accelerate launch|torchrun|deepspeed|sbatch|tmux.*python)' | tail -5)
# Sample jargon-shape hits in user's recent commits (if in a git repo)
jargon_hits=$(git log -50 --pretty=format:%s 2> /dev/null | grep -E '\bwave-[0-9]+\b|\bphase-internal\b|\binternal-only\b' | head -3)
# What the agentic Stop hook would orient on for this project
project_orientation=""
[ -f README.md ] && project_orientation+="README.md found "
[ -f CLAUDE.md ] && project_orientation+="CLAUDE.md found "
[ -f .claude/CLAUDE.md ] && project_orientation+=".claude/CLAUDE.md found "
[ -f AGENTS.md ] && project_orientation+="AGENTS.md found "
Then present:
phd-skills auto-detected the following:
Timezone: ${sys_tz} (${sys_tz_long})
Recent launches: <count> training-job patterns in shell history
Jargon hits: <count> commits with internal-jargon shapes
Project orientation: ${project_orientation:-no README / CLAUDE.md / AGENTS.md found at project root}
This is what the hooks and agentic Stop hook will use. No configuration needed.
The plugin works on the first command. Hooks fire silently when there is nothing to flag.
Want to configure any extras? (notifications, allowlist, CLAUDE.md, LaTeX) [y/N]
If the user says no, you are done. If yes, walk them through the optional steps below.
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.
- 6d ago Changed · +16 lines 796c6218a5cd
- 1mo ago First seen · 165 lines · 30 tokens per session scan C 2d959f74b135
setup is a command published in the GitHub repository fcakyon/phd-skills (423 stars, last pushed 6d ago), licensed MIT. It adds 30 tokens to every session and 1,778 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 3 findings (sends data to an external url, reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
verify-math
Verify a self-authored mathematical result end to end by routing claims across adversarial review, numerical falsification, symbolic or CAS checks, and Lean, then aggregating one report. Use when a theorem, proposition, conjecture, or paper-wide mathematical argument needs the appropriate combination of verification…
synthesise-reviews
Deduplicate and reconcile multiple completed review reports into one prioritised revision plan with conflicts and dependencies made explicit. Use when parallel reviewers have returned findings that need a single action sequence. Not for running the reviews; use $review-cluster.
doctor
Badi configuration validation. Checks all Badi components and produces a diagnostic report.
t800-onboard
A command for newcomers that explains what is installed in Cursor globally and in the current project, plus what the T-800 team can do.
qa
Smoke or browser-walk a running app. Report only. Do not implement. Do not merge.
post-task
Execute post-task cleanup, performance analysis, and memory storage.