help

A command that lists the research plugin’s available commands, skills, automated behaviors, and setup options.

In plain words
What is it for?
Use it when you need to find tools for literature searches, paper writing, checking results against code, dataset analysis, experiments, or publication preparation.
Why use it?
It gives you a quick map of the plugin so you can discover the right feature without knowing its structure.

Command

Install

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.

agentmods
npx agentmods add commands/fcakyon/phd-skills/help
Clone the repo
git clone --depth 1 https://github.com/fcakyon/phd-skills
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 572 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00026 $0.00572
Opus 5 $0.00013 $0.00286
Sonnet 5 $0.00005 $0.00114
Haiku 4.5 $0.00003 $0.00057

Measured 2d ago against content hash f3e8dece3ca4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

help 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 2d 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.

plugin/commands/help.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PHD-Skills Help

Display a formatted overview of all plugin features. Read the plugin structure to generate this dynamically.

Output the following overview:

PHD-SKILLS — Research Integrity Plugin for Claude Code

COMMANDS (invoke directly)
  /phd-skills:xray      Audit paper against code and data (5 parallel dimensions)
  /phd-skills:factcheck  Verify BibTeX entries and cited claims against DBLP
  /phd-skills:gaps       Literature gap analysis with web confirmation
  /phd-skills:fortify    Select strongest ablations + anticipate reviewer questions
  /phd-skills:setup      Interactive onboarding (notifications, allowlist, LaTeX)
  /phd-skills:help       This help message

SKILLS (auto-trigger — just describe what you need)
  "design an ablation study"             → Experiment Design
  "find related papers on X"             → Literature Research
  "write the methods section"            → Paper Writing
  "check if my numbers match the code"   → Paper Verification
  "analyze dataset bias"                 → Dataset Curation
  "prepare code for open-source release" → Research Publishing
  "what will reviewers ask about this?"  → Reviewer Defense
  "setup latex for CVPR"                 → LaTeX Setup

AGENTS (Claude delegates automatically)
  paper-auditor          Cross-checks paper vs code/data (isolated worktree)
  experiment-analyzer    Analyzes results from any tracking system + scheduling

ACTIVE GUARDRAILS (run silently)
  Stop hook              Checks for unverified claims, wrong targets, scope creep,
                         dropped requests, assumptions stated as facts
  Ambiguity guard        Confirms interpretation of short/ambiguous messages
  Citation guard         Reminds to verify citations when editing .tex/.bib files
  LaTeX auto-compile     Compiles .tex after edits, catches errors early
  Visual inspection      Reminds to inspect generated images/plots
  State preservation     Saves research context before context overflow

COMPLEMENTARY BUILT-IN FEATURES
  /loop 10m <task>       Recurring monitoring (e.g., GPU training checks)
  /simplify              Review code for quality after publishing prep
  /fork                  Branch conversation to explore alternatives
  /btw                   Quick side questions without polluting context

Read the full file on GitHub · 56 lines

Changes

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.

  1. 2d ago First seen · 56 lines · 26 tokens per session scan A f3e8dece3ca4

Subscribe to this mod's changes

help is a command published in the GitHub repository fcakyon/phd-skills (380 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 572 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 2026-08-30.