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 Mathews-Tom/armory --skill figure-rhetoricgit clone --depth 1 https://github.com/Mathews-Tom/armoryWrote 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/mathews-tom/armory/figure-rhetoric)<a href="https://agentmods.dev/skills/mathews-tom/armory/figure-rhetoric"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/figure-rhetoric/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/mathews-tom/armory/figure-rhetoric"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/figure-rhetoric.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 | $0.00123 | $0.04030 |
| Opus 5 | $0.00062 | $0.02015 |
| Sonnet 5 | $0.00025 | $0.00806 |
| Haiku 4.5 | $0.00012 | $0.00403 |
Grade A, and why
figure-rhetoric 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 — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figure Rhetoric Audit
Pipeline position: Phase 1b (content audit). Runs in parallel with
manuscript-review. Requires compiled PDF. No prior dependencies.
See /manuscript-pipeline for full execution order.
Purpose
Evaluate every figure in a manuscript as a rhetorical act — a visual argument that must land with the reader. Each figure exists to communicate a specific claim. This skill audits whether the figure actually achieves that communication, or whether it undermines, obscures, or contradicts the author's intent.
A figure that is technically correct but rhetorically ineffective is a wasted opportunity. Reviewers form judgments from figures before reading the methodology. A figure that fails to show what the text claims creates doubt even when the underlying data supports the claim.
Relationship to Other Skills
| Concern | This skill (figure-rhetoric) | manuscript-review | manuscript-typography |
|---|---|---|---|
| Chart type selection | Is this the right chart for this claim? | N/A | N/A |
| Visual emphasis | Does the figure draw attention to the right thing? | N/A | N/A |
| Prose-figure alignment | Does a reader SEE what the text SAYS? | Does the text match the figure? (§24) | N/A |
| Data selection | Should different data be plotted? | N/A | N/A |
| Axis design | Do axes help or hide the story? | Axis labels present? (§12) | Font consistency |
| Figure quality | N/A | Resolution, colorblind, chartjunk (§12) | Backgrounds, framing |
| Figure rendering | N/A | Legibility at print scale (§23) | Caption formatting |
| Provenance | N/A | N/A (→ manuscript-provenance) | N/A |
Boundary: manuscript-review §24 checks "does the prose match the figure?" This skill checks "does the figure communicate what the prose needs it to?" §24 catches factual mismatches (text says 14.3%, figure shows 13.8%). This skill catches rhetorical failures (text says "dramatic improvement," figure shows bars that look identical because the y-axis starts at 0).
What ships with it
1 file 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.
- 9d ago First seen · 397 lines · 123 tokens per session scan A a06d17f02e71
figure-rhetoric is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed 3d ago), licensed MIT. It adds 123 tokens to every session and 4,030 once invoked, about $0.0006 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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