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.
npx skills add Immortalqx/my_codex_skills --skill phd-idea-evaluatorgit clone --depth 1 https://github.com/Immortalqx/my_codex_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/skills/immortalqx/my_codex_skills/phd-idea-evaluator)<a href="https://agentmods.dev/skills/immortalqx/my_codex_skills/phd-idea-evaluator"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/phd-idea-evaluator/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/immortalqx/my_codex_skills/phd-idea-evaluator"><img src="https://agentmods.dev/badge/skills/immortalqx/my_codex_skills/phd-idea-evaluator.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 | $0.00117 | $0.01945 |
| Opus 5 | $0.00059 | $0.00972 |
| Sonnet 5 | $0.00023 | $0.00389 |
| Haiku 4.5 | $0.00012 | $0.00194 |
Grade A, and why
phd-idea-evaluator 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 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.
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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea Evaluator
Overview
This skill evaluates a preliminary research idea from the combined perspective of a top-venue reviewer and an experienced advisor. It scores the idea against five improvement dimensions from the idea-generation guide (Higher, Faster, Stronger, Cheaper, Broader), matches the idea's lifecycle against the user's actual capability and available hours per week, probes whether the idea has paradigm-shift potential, flags fatal flaws, and returns one of three verdicts: Strong Accept, Accept with Revisions, or Reject and Pivot.
The goal is to kill weak ideas before the student invests months, and to shape promising-but-underdeveloped ideas into stronger forms before writing begins.
When to use this skill
- The user has a draft idea and asks whether it is worth pursuing.
- The user asks for novelty check, feasibility assessment, or scoring.
- Before the user commits to a paper scope or starts implementation.
- The user is comparing two or three candidate ideas and needs a structured trade-off.
- The user suspects scope creep and wants an external check.
- The user mentions 'evaluate this idea', 'score this idea', 'assess feasibility', or 'is this a good research direction'.
When NOT to use this skill
- The user has already implemented the idea and is writing the paper. Use
phd-intro-drafter,phd-tech-paper-template, orphd-benchmark-paper-templateinstead. - The user explicitly wants brainstorming of new ideas from scratch. Use plain conversation first, then draw from
references/paradigm-shift-probe.mdandreferences/paradigm-examples.mdif disruptive framing becomes relevant. - The user asks for review of an existing manuscript. Use
phd-pre-submission-reviewer. - The user asks to evaluate a benchmark contribution specifically. Use
phd-benchmark-paper-templatein targeted mode.
Core procedure
Step 1: First impression and paper-type positioning
Read the user's idea description. In one paragraph, state whether the idea reads as Novel Problem, Novel Method, or New Setting. Is the story compelling in one sentence? If you cannot write that sentence, the idea itself is probably not yet clear enough for evaluation; ask the user to restate.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 231 B
- references/fatal-flaws.md 7.2 KB
- references/five-dimensions.md 10.0 KB
- references/lifecycle-capability-matching.md 7.5 KB
- references/paradigm-elephant.md 4.5 KB
- references/paradigm-examples.md 4.7 KB
- references/paradigm-first-principles.md 4.5 KB
- references/paradigm-hamming.md 4.7 KB
- references/paradigm-shift-probe.md 6.3 KB
- references/paradigm-technology-cycle.md 4.6 KB
- references/worked-examples.md 8.2 KB
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 · 155 lines · 117 tokens per session scan A 1cf826ee42db
phd-idea-evaluator is a skill published in the GitHub repository Immortalqx/my_codex_skills (52 stars, last pushed 1mo ago), licensed MIT. It adds 117 tokens to every session and 1,945 once invoked, about $0.0006 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.
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