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/anhnguyen0905/codex-mcp/exec-visualizationnpx skills add anhnguyen0905/codex-mcp --skill exec-visualizationgit clone --depth 1 https://github.com/anhnguyen0905/codex-mcpWhat 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 | $0.00034 | $0.00619 |
| Opus 5 | $0.00017 | $0.00309 |
| Sonnet 5 | $0.00007 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade B, and why
exec-visualization scanned grade B 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 2d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
Register it with the Codex CLI in `~/.codex/config.toml`: How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
flint-chart Visualization Standards (embed into Codex prompts)
Standards block
flint-chart visualization (mandatory):
- Primary: If flint-chart MCP tools are available in the session, use them and request PNG/SVG
output.
- Fallback: Otherwise, follow the flint-chart-author skill spec or run the local
`npx flint-chart` CLI to compile and render.
- Last resort: Use Python matplotlib only when flint-chart cannot express the chart, and state the
fallback reason in one line.
- Output: Default to PNG/SVG for documents and deliverables as a drop-in for matplotlib PNGs. Use
backend specs such as Vega-Lite or ECharts JSON only for web or interactive targets that need them.
- Form: Match the data's job: magnitude -> bar; change over time -> line; part of whole -> stacked
bar (pie sparingly); correlation -> scatter; single headline -> stat tile or hero number, not
necessarily a chart.
- Axes: Use one y-scale only; never use a dual-axis chart. Put different-scale measures in two
charts or index them to a common base.
- Series: For two or more series, always include a legend and never encode identity by color alone.
- Defaults: Let flint derive the palette, marks, and layout from the data; do not hand-tune colors.
- Integrity: Never fabricate data points.
Verification block
Verification before finishing (mandatory):
- Confirm the chart file actually rendered: a non-empty PNG/SVG exists on disk, not just a spec.
- Confirm the chart form matches the data's job, axes and labels are correct, and no data was
invented.
- If Python was used, confirm its one-line fallback reason is present.
Setup — flint-chart-mcp
Install or run the server with npx -y flint-chart-mcp.
Register it with the Codex CLI in ~/.codex/config.toml:
[mcp_servers.flint-chart]
command = "npx"
args = ["-y", "flint-chart-mcp"]
Register it with Claude using claude mcp add flint-chart -- npx -y flint-chart-mcp.
The fallback agent skill lives at agent-skills/flint-chart-author/ in the
microsoft/flint-chart repository. The flint-chart Python port is preview-only and not released;
do not instruct users to install it with pip.
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.
- 2d ago First seen · 63 lines · 34 tokens per session scan B fbce051082bf
exec-visualization is a skill published in the GitHub repository anhnguyen0905/codex-mcp (3 stars, last pushed 10d ago), licensed MIT. It adds 34 tokens to every session and 619 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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