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 Dragoon0x/canon --skill canon-chartsgit clone --depth 1 https://github.com/Dragoon0x/canonWrote 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/dragoon0x/canon/canon-charts)<a href="https://agentmods.dev/skills/dragoon0x/canon/canon-charts"><img src="https://agentmods.dev/badge/skills/dragoon0x/canon/canon-charts/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/dragoon0x/canon/canon-charts"><img src="https://agentmods.dev/badge/skills/dragoon0x/canon/canon-charts.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 | $0.00092 | $0.01924 |
| Opus 5.5 | $0.00037 | $0.00770 |
| Sonnet 5.5 | $0.00018 | $0.00385 |
| Haiku 4.5 | $0.00009 | $0.00192 |
Grade A, and why
canon-charts 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CANON · Charts
A chart is a claim. If the reader can't extract the claim in five seconds, the chart failed regardless of how pretty it is.
Pick the right chart type
| Goal | Chart type |
|---|---|
| Compare categories | Bar chart (horizontal if labels are long) |
| Show trend over time | Line chart |
| Show part-of-whole, ≤ 5 slices | Pie or donut (used sparingly) |
| Show part-of-whole, > 5 slices | Stacked bar or treemap |
| Show distribution | Histogram, box plot |
| Show correlation | Scatter plot |
| Show change across two points | Dumbbell chart, slope chart |
| Single key metric with trend | Big number + sparkline |
| Show composition over time | Stacked area |
Axis rules
- Y-axis should start at zero for bar charts. Always. Truncating bar axes inflates differences and misleads.
- Line charts may use a non-zero baseline if the data range is narrow and a zero-start would flatten the signal — in that case, explicitly note the baseline.
- X-axis time: left → right, always. Never right → left.
- Label axes clearly. "Revenue ($)" beats "$".
- Tick marks: 4–7 per axis. More = visual noise. Fewer = hard to read.
- Grid lines: light, thin, optional. Full grids often hurt. Horizontal-only grid for vertical bar charts.
Color in charts
Follow canon-color for palette. Chart-specific rules:
- Categorical (qualitative): distinct hues, roughly equal perceptual weight. 5–8 max. Beyond 8, reorganize the data.
- Sequential (ordinal): single-hue light-to-dark. Works for ordered data (low → high).
- Diverging: two hues from neutral midpoint. Use for data with a meaningful zero or center (profit/loss, above/below average).
Avoid rainbow palettes — they imply order where there is none and fail for colorblind users.
Avoid red/green as the only signal. 8% of men are red-green colorblind. Pair with shape or position.
Test palettes against deuteranopia, protanopia, tritanopia simulators.
Labels over legends
If you can label data directly, do it. Legends force the eye back and forth.
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 · 179 lines · 92 tokens per session scan A 86ada39d4b8c
canon-charts is a skill published in the GitHub repository Dragoon0x/canon (6 stars, last pushed 6mo ago), licensed MIT. It adds 92 tokens to every session and 1,924 once invoked, about $0.0004 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.
canon-charts compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| canon-chartsDragoon0x/canon | Skill | 6 | 6mo ago | MIT | A | 92 | Claude Code, Codex |
| accessibilitydiegosouzapw/awesome-omni-skills | Skill | 170 | 4mo ago | MIT | C | 119 | Claude Code, Codex |
| accessibilityericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 86 | Claude Code, Codex |
| accessibility-auditoyi77/1ai-skills | Skill | 17 | yesterday | MIT | A | 29 | Claude Code |
| a11y-auditgreglas75/zuvo | Skill | 7 | 3d ago | MIT | A | 147 | Claude Code |
| axe-audittonone-ai/tonone | Skill | 77 | 23d ago | MIT | A | 47 | Claude Code |
| accessibility-compliance-accessibility-audit-v2diegosouzapw/awesome-omni-skills | Skill | 170 | 4mo ago | MIT | A | 76 | Claude Code |