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 icerain-cmd/humanities-superpowers --skill planning-humanities-argumentgit clone --depth 1 https://github.com/icerain-cmd/humanities-superpowersWrote 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/icerain-cmd/humanities-superpowers/planning-humanities-argument)<a href="https://agentmods.dev/skills/icerain-cmd/humanities-superpowers/planning-humanities-argument"><img src="https://agentmods.dev/badge/skills/icerain-cmd/humanities-superpowers/planning-humanities-argument/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/icerain-cmd/humanities-superpowers/planning-humanities-argument"><img src="https://agentmods.dev/badge/skills/icerain-cmd/humanities-superpowers/planning-humanities-argument.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 | $0.00041 | $0.02047 |
| Opus 5 | $0.00020 | $0.01024 |
| Sonnet 5 | $0.00008 | $0.00409 |
| Haiku 4.5 | $0.00004 | $0.00205 |
Grade A, and why
planning-humanities-argument 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 9d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning a Humanities Argument
Purpose
Convert a research question and bounded source base into an explicit argument architecture. The skill makes inferential dependencies visible before prose hides them. It does not manufacture a thesis, create evidence, or convert thematic organization into argument by tone alone.
Contract
Accepts
- A
ResearchQuestion,ScopeBoundary, provisional thesis, source inventory, and notes. - Optional venue constraints, word limit, disciplinary expectations, and section drafts.
Requires
- A research question that can be answered propositionally.
- A provisional thesis supplied or approved by the researcher.
- At least one identifiable evidence class for every major claim.
- A declared scope boundary.
Produces
- One argument map composed of
Claim,EvidenceItem,Inference,ArgumentNode, andObjectionrecords. - A dependency-ordered section plan.
- An evidence-gap register.
- An argument-planning gate report.
May produce
- Alternative architectures when more than one defensible sequence exists.
CONDITIONAL PASSwhen the structure is usable but evidence or warrants remain incomplete.FAILwhen the thesis cannot be decomposed into supportable claims.
Fails when
- The thesis is only a topic, slogan, moral preference, or conclusion copied from the prompt.
- A major claim lacks both evidence and a feasible evidence plan.
- Section order depends on concepts not yet defined or claims not yet established.
- The requested architecture requires invented evidence or literature consensus.
Guarantees
- Every major claim is paired with an explicit warrant and evidence status.
- Section order reflects argumentative dependency rather than topic sequence alone.
- Missing inferential work remains visible.
Does not guarantee
- That the thesis is true, original, significant, or publishable.
- That planned evidence will ultimately support the claim.
- That a complete map will yield persuasive prose without further scholarly judgment.
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.
- 9d ago First seen · 252 lines · 41 tokens per session scan A 556ccd4f08b3
planning-humanities-argument is a skill published in the GitHub repository icerain-cmd/humanities-superpowers (16 stars, last pushed 19d ago), licensed MIT. It adds 41 tokens to every session and 2,047 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.
Other skills, from other repositories
quantum-qiskit
Reference qiskit 2.x patterns for variational quantum machine learning. Covers data-encoding feature maps, variational quantum classifier (VQC) training, variational quantum eigensolver (VQE) for chemistry, matrix-product-state circuits, and noise model integration. Use when writing Python code that imports qiskit…
fba-simulator
Run Flux Balance Analysis (FBA) and related constraint-based simulations using COBRApy. Covers standard FBA, parsimonious FBA (pFBA), Flux Variability Analysis (FVA), loopless FBA, gene/reaction knockouts, and carbon source swapping. Outputs flux distributions and CSV files.
gsmm-validator
Validate a COBRApy genome-scale metabolic model for mass/charge balance, stoichiometric consistency, biomass producibility, dead-end metabolites, thermodynamic loops, and GPR rule formatting. Outputs a structured validation report with errors and warnings.
metabolic-study-planner
Plan publishable constraint-based metabolic modelling studies when the user has a broad biological or metabolic-engineering topic but no concrete dataset, organism, model, or hypothesis. Selects feasible BiGG/COBRA models, objectives, perturbations, analyses, metrics, figures, and risk controls before FBA code is…
stat-research-orchestrator
Orchestrate a statistical research pipeline centered on formal problem formulation, method proposal, theoretical analysis, experimental evaluation, comparison, and final result synthesis.
gsmm-builder
Build or load a genome-scale metabolic model (GSMM) using COBRApy. Covers loading from BIGG, constructing minimal models from scratch, setting medium constraints, and exporting validated .json model files.