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 yha9806/academic-writing-toolkit --skill logic-reviewgit clone --depth 1 https://github.com/yha9806/academic-writing-toolkitWrote 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/yha9806/academic-writing-toolkit/logic-review)<a href="https://agentmods.dev/skills/yha9806/academic-writing-toolkit/logic-review"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/logic-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/yha9806/academic-writing-toolkit/logic-review"><img src="https://agentmods.dev/badge/skills/yha9806/academic-writing-toolkit/logic-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00502 |
| Opus 5 | $0.00021 | $0.00251 |
| Sonnet 5 | $0.00008 | $0.00100 |
| Haiku 4.5 | $0.00004 | $0.00050 |
Grade A, and why
logic-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 8d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/logic-review — Paragraph Logic Review
Purpose
Find paragraphs that may need a topic sentence, a clearer transition, merging, re-ordering, or removal of duplicated argumentative work. The deterministic script flags mechanical candidates; the agent separately reviews rhetorical functions without redefining the manuscript spine.
Trigger Words
This skill activates on: logic review, flow check, paragraph logic, /logic-review.
Workflow
- Run:
python3 scripts/audit-logic.py --base-dir . --json - Confirm that the research object, core question, intended use, primary
experiment, headline claim, and evidence boundary are stable under the
active
/thesis-controlcontract. If they are not, stop the language pass and route the issue to drift control or revision escalation. - Read the flagged paragraphs and nearby context.
- Label each relevant sentence or paragraph by its main function:
problem,gap,method,evidence,interpretation,boundary, ortransition. - Flag duplicated functions and monotonous sequences, especially repeated
evidence -> disclaimerendings. Prefer deleting or consolidating repeated argumentative work over generating synonymous wording. - Check boundary placement. Scope must remain aligned across the paper, but full limitation prose need not be repeated after every result. Preserve essential local qualifiers and concentrate fuller study-boundary language in the abstract ending, Methods boundary, Discussion/Limitations, and conclusion when appropriate.
- Present a numbered review table with location, function, issue type, why it matters, and a proposed edit.
- Wait for user approval before editing chapter files.
- Apply only approved edits, then re-run the audit.
Constraints
- Never auto-fix chapter logic without user approval.
- Preserve the author's argument and section structure.
- Keep edits local to the flagged paragraph unless the user approves a broader rewrite.
- Do not use a logic or style pass to repair an unstable research question, evidence chain, application purpose, or contribution order.
- No emoji.
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.
- 8d ago Changed · +20 lines · +23 tokens per session be69d9942b77
- 12d ago First seen · 32 lines · 19 tokens per session scan A ca98f6df30a8
logic-review is a skill published in the GitHub repository yha9806/academic-writing-toolkit (38 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 502 once invoked, about $0.0002 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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