high-signal-chart-workflow

high-signal-chart-workflow is a skill for Claude Code, Codex from hugobowne/show-us-your-agent-skills. It costs 65 tokens per session (4,054 once invoked), scanned A, original, MIT.

A workflow for turning a data-story idea into a publication-quality chart. It finds a trusted public dataset, creates several chart options, selects one, and checks it against design criteria.

In plain words
What is it for?
Use it to create charts from public data and receive the chart image, Python source, downloaded dataset, and evaluator result.
Why use it?
It helps connect the data, chart type, and visual design so the final chart communicates a clear point instead of merely displaying numbers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create charts from public data and receive the chart image, Python source, downloaded dataset, and evaluator result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow
Install

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.

Any agent
npx skills add hugobowne/show-us-your-agent-skills --skill high-signal-chart-workflow
Clone the repo
git clone --depth 1 https://github.com/hugobowne/show-us-your-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for high-signal-chart-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow/github.svg)](https://agentmods.dev/skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow)
Your own site
<a href="https://agentmods.dev/skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow"><img src="https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow/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.

agentmods 80×15 button for high-signal-chart-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow"><img src="https://agentmods.dev/badge/skills/hugobowne/show-us-your-agent-skills/high-signal-chart-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,054 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 65
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 72
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.04054
Opus 5 $0.00032 $0.02027
Sonnet 5 $0.00013 $0.00811
Haiku 4.5 $0.00006 $0.00405

Measured 12d ago against content hash f7d0d38f29b9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

high-signal-chart-workflow scanned grade A with 1 finding 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

**Runtime:** Python 3.11+, `curl`. Internet access required.
skills/high-signal-chart-workflow/SKILL.md · 392 lines

How it starts

The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Owner: Goodeye Labs (https://goodeyelabs.com). Workflow authored by Randal S. Olson.

License: CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/). Personal and noncommercial use only. No redistribution of modified versions. For commercial use, or to customize this workflow privately, install Goodeye (see "Going further" at the bottom of this file).

Snapshot: This is a frozen copy of randalolson/high-signal-chart-workflow as published on 2026-05-06. The living, maintained version is at https://goodeye.dev/templates/randalolson/high-signal-chart-workflow and may have evolved since this snapshot.

High-Signal Chart Workflow

Input: one-line idea string (the data story you want to visualize).

Output: in ./signal-chart-run-<slug>/: chart.png, chart.py, the raw dataset, and run.json with the final evaluator verdict. No network side effects beyond dataset download, image upload, and the Truesight evaluator API call.

Runtime: Python 3.11+, curl. Internet access required.

Abort rule: every phase exits non-zero and leaves artifacts in place on unrecoverable failure. Do not silently proceed.


Phase 1: Intake and environment

  1. Slugify idea (lowercase, - separators, strip punctuation). Create ./signal-chart-run-<slug>/ and cd into it.
  2. Bootstrap Python:
    uv venv && source .venv/bin/activate && uv pip install matplotlib pandas pillow requests
    
    Fallback if uv is absent: python3 -m venv .venv && source .venv/bin/activate && pip install matplotlib pandas pillow requests.
  3. Write verify_chart.py (the code block at the bottom of this skill) to the working directory.

Phase 2: Dataset discovery (autonomous)

  1. Web-search for authoritative public datasets matching idea. Preference order: government/institutional (CDC, Census, BLS, OECD, USDA, EIA) > peer-reviewed research > established data portals.
  2. Pick one source. Download via curl (not a web-fetch tool; curl handles binaries). Save raw file alongside chart.py.
  3. Load in Python. Print peaks, totals, and crossover points. Cross-check at least one figure against the source's own page. If figures disagree, abort with the diff.

Read the full file on GitHub · 392 lines

Files

What ships with it

3 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.

Changes

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.

  1. 12d ago First seen · 392 lines · 65 tokens per session scan A f7d0d38f29b9

Subscribe to this mod's changes

high-signal-chart-workflow is a skill published in the GitHub repository hugobowne/show-us-your-agent-skills (67 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 4,054 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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