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 yujie-jason-zhang/polish_skill --skill problem-driven-literature-reviewgit clone --depth 1 https://github.com/yujie-jason-zhang/polish_skillWrote 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/yujie-jason-zhang/polish_skill/problem-driven-literature-review)<a href="https://agentmods.dev/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review/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/yujie-jason-zhang/polish_skill/problem-driven-literature-review"><img src="https://agentmods.dev/badge/skills/yujie-jason-zhang/polish_skill/problem-driven-literature-review.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 | $0.00084 | $0.01157 |
| Opus 5 | $0.00042 | $0.00579 |
| Sonnet 5 | $0.00017 | $0.00231 |
| Haiku 4.5 | $0.00008 | $0.00116 |
Grade A, and why
problem-driven-literature-review 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 12d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Problem-Driven Literature Review
Scope
Use this skill for literature review, related work, introduction background, research-gap synthesis, reference selection, and citation-role assignment in technical research papers, organized by a problem-driven protocol rather than a method-name list.
Read references/literature_review_protocol.md for the full protocol, worksheet, paragraph templates, reference-role table, reference metadata check, quality gates, and per-contribution-type examples before drafting or auditing a full review. For a short background paragraph, the principle and protocol summary below are enough.
Use another skill when the task is primarily:
- novelty risk, dangerous baselines, or whether the idea is defensible before writing: use
idea-novelty-auditor(if available); - manuscript storyline, section structure, contribution framing, or experiment-to-claim redesign: use
paper-argument-reconstructor(if available); - TeX-safe language polishing of the review text: use
paper-polisher(if available).
Verification Mode
This skill has two modes. By default it writes or revises the review as described above. When the input is a related-work or background section another tool or skill has already drafted, switch to verification mode instead of regenerating:
- do not overwrite the other tool's wording;
- check it against this skill's rules: citation integrity, reference metadata quality, direct-competitor coverage, negative-claim hygiene, and whether the named structural gap is actually supported;
- report only the deviations and their locations; fix one in place only if it breaks a hard rule.
The suite's value is faithful, bounded output, not a competing rewrite. Verify rather than replace what a stronger generator already produced.
One-Sentence Principle
A literature review is not a list of what other people did. It should prove why the target paper is necessary:
S requires R.
Literature L solves parts of R under H.
H breaks under S, producing gap G.
We propose C to close G and validate it by V.
What ships with it
2 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.
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.
- 12d ago First seen · 75 lines · 84 tokens per session scan A 16d6b89118cc
problem-driven-literature-review is a skill published in the GitHub repository yujie-jason-zhang/polish_skill (18 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 1,157 once invoked, about $0.0004 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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