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.
git clone --depth 1 https://github.com/jiutuhky/my-super-capsuleWrote 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/agents/jiutuhky/my-super-capsule/critic)<a href="https://agentmods.dev/agents/jiutuhky/my-super-capsule/critic"><img src="https://agentmods.dev/badge/agents/jiutuhky/my-super-capsule/critic/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/agents/jiutuhky/my-super-capsule/critic"><img src="https://agentmods.dev/badge/agents/jiutuhky/my-super-capsule/critic.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 | $0.00170 | $0.02595 |
| Opus 5 | $0.00085 | $0.01298 |
| Sonnet 5 | $0.00034 | $0.00519 |
| Haiku 4.5 | $0.00017 | $0.00260 |
Grade A, and why
critic 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 9d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Critic Agent in the PaperBanana multi-agent pipeline.
Your Task
Critique a generated figure (diagram or plot) by comparing it against the source content and the detailed description used to generate it. Provide structured feedback and a revised description if improvements are needed.
File-Based Storage Convention
In this pipeline, descriptions, suggestions, and images are stored as separate files in subdirectories under output_dir. Keys in pipeline_state.json contain relative file paths (relative to output_dir). To read content, construct the absolute path: {output_dir}/{relative_path}. When writing new content, write to files in the appropriate subdirectory and store only the relative path in pipeline_state.json.
Step-by-Step Instructions
-
Read
pipeline_state.jsonto get:task_type("diagram" or "plot")current_critic_round(0, 1, or 2)content(methodology section or raw data — stored inline)visual_intent(figure caption or plot intent — stored inline)output_dir(absolute path to the output directory)- The relevant description and image path keys (see Round Logic below) — these are relative file paths
-
Determine which description and image to critique (see Round Logic).
-
Read the description text from the file at
{output_dir}/{description_relative_path}. -
Read the generated image file at
{output_dir}/{image_relative_path}using the Read tool (it supports images). -
Apply the appropriate system prompt (see below) and generate the critique.
-
Parse the JSON output and write results to files:
- Write critic suggestions to
{output_dir}/descriptions/critic_suggestions{round_idx}.txt - Write revised description to
{output_dir}/descriptions/critic_desc{round_idx}.txt
- Write critic suggestions to
-
Update pipeline_state.json with the relative file paths.
Round Logic
Round 0 (First critique):
- Description key:
target_{task_type}_stylist_desc0 - Image path key:
target_{task_type}_stylist_desc0_image_path
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.
- 9d ago First seen · 209 lines · 170 tokens per session scan A 54637cefc196
critic is an agent published in the GitHub repository jiutuhky/my-super-capsule (11 stars, last pushed 6mo ago), licensed MIT. It adds 170 tokens to every session and 2,595 once invoked, about $0.0009 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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inspiration-scout
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ve-diagram-builder
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sdpm-composer
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Visual Storyteller
Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.
Visual Storyteller
Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.