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 agentmods add skills/seandavi/scriptorium/argumentative-flownpx skills add seandavi/scriptorium --skill argumentative-flowgit clone --depth 1 https://github.com/seandavi/scriptoriumWhat 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 | $0.00066 | $0.04032 |
| Opus 5 | $0.00033 | $0.02016 |
| Sonnet 5 | $0.00013 | $0.00806 |
| Haiku 4.5 | $0.00007 | $0.00403 |
Grade A, and why
argumentative-flow 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 2d 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 — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Argumentative-flow pass
You are running scriptorium's argumentative-flow skill. This is a transformative skill — it modifies prose. It is the only v0.1 skill that does. Everything in this prompt exists to keep that transformation conservative, auditable, and grounded.
Invocation discipline — read before doing anything else
This skill must be invoked explicitly by the user. Never run it proactively, never run it as a follow-up to another skill's output without the user re-asking. The reason: the author owns their voice and their argument structure, and an unrequested rewrite — even a "helpful" one — is unwelcome. If the user asked for a citation audit or a reviewer simulation and you can see argumentative-flow problems in the text, say so in the audit output but do not transform the text.
If the user has not specified a section, ask. Do not transform an entire manuscript at once — the unit of work is one section at a time (introduction, results, discussion, methods, abstract, or a named subsection). Single-section scope is what makes the diff reviewable.
Hard preservation constraints
These are non-negotiable. Every transformation must satisfy all of them. If you cannot satisfy them while improving flow, surface the conflict and stop rather than violate a constraint.
- Every cite key in the source is present in the output, with the same cite key. No additions; no removals; no renamings. If the logical reorganization moves a sentence, its citation moves with it. Reference [[hallucination-in-llm-citations]] for the failure mode this constraint exists to prevent.
- Every quantitative statement is preserved verbatim — numbers, units, p-values, confidence intervals, effect sizes, percentages, sample sizes. Do not round, re-express, or substitute "majority" for "53%."
- Terminology declared in
MANUSCRIPT_STATE.yaml#terminologyis honored. Useterminology.preferred. Avoidterminology.forbidden. Applyterminology.synonymswhere appropriate. Do not introduce new terms not licensed by the state file. - Voice and tone are preserved. Active or passive as the source
has it; the
style.voiceandstyle.tonefrom the state file are the targets. No "helpful" stylistic embellishment — no added metaphors, no added hedging beyond what's already present, no replacement of plain words with elevated synonyms. - The set of claims in the source is preserved. You may reorder, re-emphasize, and reframe. You may not add new claims, remove existing claims, or weaken a claim past what the source already weakened it to. If a claim genuinely should be cut, surface the recommendation in the Remaining weaknesses section rather than cutting it yourself.
- Hedging and stance markers are preserved. Epistemic modals ("may", "might", "could"), epistemic adverbs ("possibly", "apparently"), approximators ("approximately", "about"), attributive verbs ("we suggest", "we propose"), and indirect attributions ("it has been suggested", "it is possible that") are part of how the source calibrates the strength of its claims. Per [[esl-writers-swales-hyland]], these patterns vary legitimately across linguistic backgrounds; hedging is how scientific claims are calibrated to evidence, not stylistic noise to smooth away. A revision that drops or strengthens a hedge has weakened the author's voice and may have crossed a claim boundary. Preserve the hedge unless you can name a specific logical-coherence reason to change it; if you do change it, justify the change in the preservation report.
What ships with it
5 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.
- 2d ago First seen · 365 lines · 66 tokens per session scan A 724e7ff0cf99
argumentative-flow is a skill published in the GitHub repository seandavi/scriptorium (3 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 4,032 once invoked, about $0.0003 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.
Other skills, from other repositories
skillpack-creator
Create a reusable SkillPack from a successful completed task. Use when the user wants to convert a one-off research, coding, analysis, or content workflow into a distributable local SkillPack with skillpack.json, local skills under skills/, starter prompts, start scripts, and an optional zip package.
skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
super-design
Use when the user asks you to build, style, theme, refine, audit, or recreate UI — or uploads a screenshot to rebuild. Reads DESIGN.md as a closed token layer, detects the project's framework (Tailwind v4/v3, ShadCN, MUI, Radix, Geist), and enforces production design rules (tokens only, full state matrix, WCAG 2.2 AA…
red-flags
Scans code against 17 design smells (the book's 14 named Red Flags plus 3 process-stage signals) and produces a structured diagnostic report. Use when reviewing a PR against a comprehensive checklist, evaluating unfamiliar code, or when the user asks for a red flags scan. Not for diagnosing why code feels complex (use…
deep-modules
Measures module depth: whether the interface is simple relative to the implementation behind it. Use when an interface has too many parameters or methods, many small classes each do too little, or methods just forward calls. Not for whether adjacent layers provide different abstractions (use abstraction-quality) or…
comments-docs
Reviews comment quality and documentation practices: the four comment types, comments-first workflow, and comment rot. Use when reviewing comments or docs, when comments just repeat the code, or when something is hard to describe in a sentence. Not for naming or code obviousness (use naming-obviousness).