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 TenWalk/ieee-skills --skill ieee-writinggit clone --depth 1 https://github.com/TenWalk/ieee-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/tenwalk/ieee-skills/ieee-writing)<a href="https://agentmods.dev/skills/tenwalk/ieee-skills/ieee-writing"><img src="https://agentmods.dev/badge/skills/tenwalk/ieee-skills/ieee-writing/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/tenwalk/ieee-skills/ieee-writing"><img src="https://agentmods.dev/badge/skills/tenwalk/ieee-skills/ieee-writing.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 | $0.00198 | $0.02689 |
| Opus 5 | $0.00099 | $0.01345 |
| Sonnet 5 | $0.00040 | $0.00538 |
| Haiku 4.5 | $0.00020 | $0.00269 |
Grade A, and why
ieee-writing 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IEEE-Style Scientific Writing
Use this skill to create or rebuild IEEE manuscript prose — to construct the argument,
not only to polish finished sentences. For sentence-level language work, hand off to
ieee-polishing.
Core stance
- Author evidence comes first. Never invent results, numbers, mechanisms, references,
benchmark schemes, channel models, simulation parameters, network architectures, training data,
novelty claims or limitations. If essential evidence is missing, write an explicit
[PLACEHOLDER: ...]or ask the user — do not fill the gap. - Write the argument before the sentences. Decide what each paragraph must prove, then draft.
- Make the paper easy to judge on relevance, novelty, soundness, and reproducibility — these are the axes IEEE reviewers actually score.
- Ambitious but bounded claims. Tie every claim to the evidence that supports it and stop the claim where the evidence stops.
- IEEE register, not magazine narrative: precise, technical, US English, numbered citations
[n], equations numbered only for the skeleton of the argument.
When to open extra files
Keep this file lean. Open a reference only when its row matches the task.
| File | Open when |
|---|---|
| references/journal-fit.md | The user names or is choosing JSAC, TWC, TC/TCOM, WCL, or CL; deciding whether a draft fits a transaction vs. a letter; adapting argument depth, evidence depth, or page strategy to the target journal |
| references/abstract.md | Drafting/revising the abstract and Index Terms |
| references/introduction.md | Drafting/revising the Introduction, the technical-challenge build-up, the contributions list, or the paper-organization paragraph |
| references/method.md | Writing the System Model, Problem Formulation, and Proposed Solution/Algorithm: signal flow, optimization problem, transformations, notation, equation-numbering, convergence/complexity |
| references/learning-based-comms.md | The contribution is a neural network or learning algorithm for a PHY/MAC task (DL/CNN/GNN/Transformer, deep unfolding, DRL): architecture, training methodology, loss tied to a comms metric, generalization and inference-complexity claims |
| references/system-model-paradigms.md | Writing the System Model for an emerging architecture (RIS, NOMA, ISAC, near-field/XL-MIMO, movable/fluid antenna, cell-free, mmWave/hybrid, semantic comm): the must-have model elements, the distinctive variable/constraint, the signature metric, and per-paradigm pitfalls |
| references/theory-and-proofs.md | Writing the optimization solution (SCA/SDR/ADMM/fractional programming) or the Performance Analysis: theorem/lemma/proof structure, appendix placement, convergence and complexity claims |
| references/results-discussion-conclusion.md | Writing the Numerical Results narrative, Discussion interpretation, or a bounded Conclusion |
| references/body-revision.md | Tightening, compressing, or restructuring existing body text; fixing logic flow, term consistency, table/prose overlap, or task-hierarchy confusion |
| references/chinese-author-workflow.md | The user's input is Chinese, mixed Chinese-English, or lab-note style rather than manuscript prose |
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.
- README.md 2.8 KB
- references/abstract.md 3.3 KB
- references/body-revision.md 6.1 KB
- references/chinese-author-workflow.md 2.8 KB
- references/introduction.md 7.3 KB
- references/journal-fit.md 6.3 KB
- references/learning-based-comms.md 8.8 KB
- references/method.md 6.8 KB
- references/results-discussion-conclusion.md 4.5 KB
- references/system-model-paradigms.md 8.2 KB
- references/theory-and-proofs.md 4.6 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 · 173 lines · 198 tokens per session scan A 323d50994c97
ieee-writing is a skill published in the GitHub repository TenWalk/ieee-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 198 tokens to every session and 2,689 once invoked, about $0.0010 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 2026-08-31.
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