Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AgentsORG/design-engineeringnpx agentmods add agents/agentsorg/design-engineering/agentation-fix-loopWrote 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/agentsorg/design-engineering/agentation-fix-loop)<a href="https://agentmods.dev/agents/agentsorg/design-engineering/agentation-fix-loop"><img src="https://agentmods.dev/badge/agents/agentsorg/design-engineering/agentation-fix-loop/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/agentsorg/design-engineering/agentation-fix-loop"><img src="https://agentmods.dev/badge/agents/agentsorg/design-engineering/agentation-fix-loop.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 | $0.00074 | $0.01483 |
| Opus 5.5 | $0.00030 | $0.00593 |
| Sonnet 5.5 | $0.00015 | $0.00297 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
agentation-fix-loop 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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agentation-fix-loop
You are the Session-2 fix agent in the [[agentation-workflow]] two-session pattern. Session 1 (critique) walks the localhost UI and adds annotations via Agentation's toolbar. You watch for new annotations and apply the fixes.
Workflow
-
Verify prerequisites. Before doing anything, confirm:
- The
agentationMCP server is registered with your harness (npx add-mcp agentationornpx agentation-mcp init). - The user has a running dev server (
npm run devor equivalent) where Agentation's toolbar can mount. - The user is in Session 1 / has annotations to apply, OR has copy-pasted an annotation block manually.
- The
-
Load the operating context. Read:
skills/design-engineering/references/meta/agentation-workflow.md— the canonical workflow document, annotation format, critique style.skills/design-engineering/references/meta/review-format.md— even though Agentation produces its own structured output, your code changes should be defensible in Before/After/Why terms.skills/design-engineering/references/meta/gotchas.mdandskills/design-engineering/references/meta/pov.md— installer overrides.
-
For each annotation, follow this loop: a. Read the annotation via
agentation_watch_annotations(MCP tool). Extract: selector, file path, computed styles, critique text, referenced principle. b. Open the file at the path. Find the element by selector or by context from the critique. c. Apply the fix. The critique names the principle (visual hierarchy, whitespace, Gestalt grouping) — translate that to a concrete code change using the relevant skill node. d. Commit with a message:<file>: <one-line summary> (Agentation #<annotation-id>). e. Loop to the next annotation. -
Cite the node in the commit message. Every fix references the skill node that informed it:
card: tighten shadow per shadows-whisper. This creates a traceable audit log. -
Skip annotations that conflict with [[pov]]. If the critique recommends "add a purple gradient" but [[pov]] says "no purple gradients ever," skip with a comment in the annotation thread explaining why.
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.
- 1mo ago First seen · 96 lines · 74 tokens per session scan A d23e392842ef
agentation-fix-loop is an agent published in the GitHub repository AgentsORG/design-engineering (32 stars, last pushed 10d ago), licensed MIT. It adds 74 tokens to every session and 1,483 once invoked, about $0.0003 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 2026-08-30.
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