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/mathews-tom/armory/figure-table-qualitynpx skills add Mathews-Tom/armory --skill figure-table-qualitygit 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-table-quality)<a href="https://agentmods.dev/skills/mathews-tom/armory/figure-table-quality"><img src="https://agentmods.dev/badge/skills/mathews-tom/armory/figure-table-quality.svg" alt="Measured on agentmods" 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 | $0.00104 | $0.01677 |
| Opus 5 | $0.00052 | $0.00839 |
| Sonnet 5 | $0.00021 | $0.00335 |
| Haiku 4.5 | $0.00010 | $0.00168 |
Grade A, and why
figure-table-quality 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 6d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figure & Table Quality Audit
Pipeline position: Phase 2.5 (between Grounding/Polish and Submission).
Runs after figure-rhetoric (content) and before arxiv-preflight (compliance).
See /manuscript-pipeline for full execution order.
Purpose
Verify that every figure and table in a manuscript renders at readable size in the compiled PDF. figure-rhetoric checks whether figures communicate the right message. This skill checks whether the reader can physically read them.
Execution
Step 1 — Build the display-scale map
For every \includegraphics in the .tex source:
- Extract the display width (e.g.,
\textwidth,0.7\textwidth,0.55\textwidth) - Compute the effective display width in inches using the document geometry
- Read the figure generation script to find the
figsizefor each figure - Compute:
scale = display_width / figsize_width
Also extract from the generation script or config:
- Base font sizes: title, label, tick, legend, annotation
- Marker sizes, line widths
- Bar widths (for grouped bar charts)
Step 2 — Per-figure audit (all 9 checks)
For each figure, compute effective values at display scale and check:
2a. Font size at render
effective_font = script_font × scale
| Element | Minimum | Warning |
|---|---|---|
| Axis title | 7pt | 8pt |
| Tick labels | 6pt | 7pt |
| Legend text | 6pt | 7pt |
| Annotations | 6pt | 7pt |
| Panel titles | 7pt | 8pt |
FAIL if any element falls below minimum. WARN if any element falls below warning threshold.
2b. Label collision
Check for overlapping text in:
- X-axis tick labels (especially with rotation < 45° and > 3 labels)
- Y-axis tick labels (long text strings)
- Data annotations near each other
- Legend entries overlapping data
For rotated labels: compute horizontal footprint as
len(label) × char_width × cos(rotation). If footprint > tick spacing, FAIL.
2c. Marker and line visibility
effective_marker = script_marker × scale
effective_linewidth = script_linewidth × scale
- Markers below 4pt effective: WARN
- Line widths below 0.5pt effective: WARN
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.
- 6d ago First seen · 190 lines · 104 tokens per session scan A e1e9c385b12f
figure-table-quality is a skill published in the GitHub repository Mathews-Tom/armory (316 stars, last pushed today), licensed MIT. It adds 104 tokens to every session and 1,677 once invoked, about $0.0005 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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