Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/gongyijie85/dsh-ecc/plan-canvas)<a href="https://agentmods.dev/skills/gongyijie85/dsh-ecc/plan-canvas"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/plan-canvas/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/gongyijie85/dsh-ecc/plan-canvas"><img src="https://agentmods.dev/badge/skills/gongyijie85/dsh-ecc/plan-canvas.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 | $0.00059 | $0.02122 |
| Opus 5 | $0.00030 | $0.01061 |
| Sonnet 5 | $0.00012 | $0.00424 |
| Haiku 4.5 | $0.00006 | $0.00212 |
Grade A, and why
plan-canvas 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 5d 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.
This is a copy
95% identical to plan-canvas — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Canvas
Review loop for plans and visual artifacts: you write the artifact, the human reviews it in the browser — annotating the exact element they mean, chatting, and delivering an Approve plan / Request changes verdict — while you block on a single CLI call that returns their feedback as JSON.
Inspired by lavish-axi; rebuilt
ECC-native around the /plan confirmation gate, with zero dependencies.
When to Use
- You just wrote a plan artifact (
.claude/plans/*.plan.mdfrom/plan) and need the CONFIRM/approve decision — the canvas verdict replaces a typed "yes/proceed". - The user should point at what to change: reviewing designs, comparisons,
reports, or any local
.md/.htmlartifact. - The user asks for
/plan-canvas, a visual review, or "open it in the browser".
Do NOT use for: code review of diffs (/code-review), running web apps, or
remote URLs. The canvas serves local artifact files only.
How It Works
Invoke the CLI as ecc-plan-canvas — the bin shipped by the ecc-universal
package (on PATH after a global/plugin install; node "$CLAUDE_PLUGIN_ROOT/scripts/plan-canvas.js"
also works for plugin installs). Run it from the project you are reviewing in;
it works from any working directory. It manages a detached loopback server
(127.0.0.1:4517) shared by all sessions, keyed by artifact path — no session
ids to track.
The workflow is a plain CLI-plus-JSON loop, so it is model- and harness-agnostic:
any agent that can run a shell command and read stdout drives it the same way
(Claude Code, Codex, Cursor, Gemini, OpenCode, Copilot). Trigger it however your
harness surfaces skills — e.g. /plan-canvas in Claude Code, $plan-canvas in
Codex — or just run the ecc-plan-canvas commands directly.
# 1. Open the artifact in the user's browser (returns immediately)
ecc-plan-canvas open .claude/plans/feature.plan.md
# 2. Block until the human responds. Leave running; re-run if interrupted:
# queued feedback is never lost.
ecc-plan-canvas await .claude/plans/feature.plan.md
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.
- 5d ago First seen · 197 lines · 59 tokens per session scan A e1167d890b69
plan-canvas is a skill published in the GitHub repository gongyijie85/dsh-ecc (6 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 2,122 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to plan-canvas, differing in 1 line, and is treated as a copy.
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