Borrowing it
Nothing to install: this file belongs to sreenathvemula/finance-research-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sreenathvemula/finance-research-agent/main/.claude/skills/sci-write/SKILL.mdgit clone --depth 1 https://github.com/sreenathvemula/finance-research-agentWrote 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/sreenathvemula/finance-research-agent/sci-write)<a href="https://agentmods.dev/skills/sreenathvemula/finance-research-agent/sci-write"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/sci-write/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/sreenathvemula/finance-research-agent/sci-write"><img src="https://agentmods.dev/badge/skills/sreenathvemula/finance-research-agent/sci-write.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 | $0.00171 | $0.01991 |
| Opus 5.5 | $0.00068 | $0.00796 |
| Sonnet 5.5 | $0.00034 | $0.00398 |
| Haiku 4.5 | $0.00017 | $0.00199 |
Grade A, and why
sci-write 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 2mo 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sci-Write
Purpose: produce scientific text a tired expert reviewer trusts. Two failure modes kill drafts: shallow content (sentences that sound analytical but assert nothing checkable) and AI-pattern prose (the surface tics reviewers now recognize instantly). This skill guards against both, in that order — content first, surface second, because de-slopping a hollow paragraph just yields a hollow paragraph.
The user's standard (non-negotiable, applies to every draft)
- Precise flow of thought. Each sentence opens with what links back (old information) and ends on its new point; the next sentence picks that point up. This stress-to-topic chaining is what "flow" mechanically is — if two adjacent sentences could be swapped without loss, the flow is broken. Full mechanics: references/writing-craft.md §A.
- Deep technical engagement — never shallow. Every paragraph must carry a checkable claim: a named method, dataset, quantity, or citation, and what exactly it shows. When reviewing literature, state what each work actually did and where it stops, not that it "highlights the importance of" something. If you don't know the specifics, say so and ask or research; do not pad with generalities.
- No AI slop. Run every draft through the checklist in references/ai-writing-signs.md before calling it done.
- No em-dash unless essential. Essential means a genuine interruption or appositive that commas, parentheses, a colon, or two sentences would mangle. Default to those alternatives.
- Clarity above cleverness. Plain verbs, subject next to verb, one point per unit, the same term for the same concept every time (a synonym implies a different concept). If a sentence needs rereading, rewrite it.
Workflow
- Identify the document type and venue first. Paper vs. proposal changes the architecture (below). For the four fellowship schemes, read references/funding-schemes.md — each has hard page limits, mandated section orders, and named rejection causes; text is scored against the funder's template bullets, not against abstract quality.
- Outline before drafting: one sentence per intended paragraph, in order. Check the outline carries the argument by itself. Fix structure here — vague feedback on a draft almost always means broken story structure, not bad wording.
- Draft to the architecture below, writing from the reader's expectations (references/writing-craft.md).
- Revise in two separate passes: first content (every paragraph's checkable claim), then the de-slop pass (references/ai-writing-signs.md, which ends with the full 5-step revision procedure).
- Verify every citation against the actual source — existence, metadata, and that it supports the exact sentence citing it. Fabricated or mismatched citations are fatal in review, and they are the most common LLM citation failure.
What ships with it
4 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.
- 2mo ago First seen · 129 lines · 0 tokens per session scan A c91f2b9ccd51
sci-write is a skill published in the GitHub repository sreenathvemula/finance-research-agent (0 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 171 tokens to every session and 1,991 once invoked, about $0.0007 per session on Opus 5.5. 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.
sci-write compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sci-writesreenathvemula/finance-research-agent | Skill | 0 | 3mo ago | Apache-2.0 | A | 171 | Claude Code |
| weekly-fno-trade-plannerajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 86 | Claude Code, Codex |
| india-news-trackerajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 76 | Claude Code, Codex |
| india-market-breadthajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 51 | Claude Code, Codex |
| india-stock-analysisajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 31 | Claude Code, Codex |
| options-strategy-advisorajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 53 | Claude Code, Codex |
| backtest-expertajeeshworkspace/indian-trading-skills | Skill | 75 | 2mo ago | MIT | A | 41 | Claude Code, Codex |