What is fixthis-feedback-loop?

A workflow for handling FixThis feedback in a Jetpack Compose Android app. It reads and claims a feedback item, guides the code change, verifies it, and marks the item resolved.

Use it to list, read, claim, implement, test, and resolve FixThis feedback items.

It gives feedback a defined path from report to verified fix, reducing the chance that an item is changed without being checked or closed.

fixthis-feedback-loop — Skill by beyondwin

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.

agentmods

npx agentmods add skills/beyondwin/fixthis/fixthis-feedback-loop

Any agent

npx skills add beyondwin/FixThis --skill fixthis-feedback-loop

Clone the repo

git clone --depth 1 https://github.com/beyondwin/FixThis

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 225 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00020	$0.00225
Opus 5	$0.00010	$0.00112
Sonnet 5	$0.00004	$0.00045
Haiku 4.5	$0.00002	$0.00022

Measured 2d ago against content hash d2a396667609, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fixthis-feedback-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 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.

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.

.codex-plugin/skills/fixthis-feedback-loop/SKILL.md · 24 lines

What it actually says

FixThis Feedback Loop

Use when a user asks to handle FixThis feedback.

Rules:

FixThis feedback is local, debug-only, and Jetpack Compose-only.
Do not commit .fixthis/.
Call fixthis_claim_feedback before making code changes when MCP queue items are available.
Call fixthis_resolve_feedback after verification.
Use docs/guides/agents.md and docs/reference/mcp-tools.md for canonical workflow and tool schemas.

Workflow:

Call fixthis_list_feedback.
Call fixthis_read_feedback for the item.
Call fixthis_claim_feedback({sessionId, itemId}) before edits.
Make the smallest code change that satisfies the feedback.
Verify with the relevant project tests and, when possible, FixThis UI evidence.
Call fixthis_resolve_feedback({sessionId, itemId, status: "resolved", summary}).

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.

2d ago First seen · 24 lines · 20 tokens per session scan A d2a396667609

Subscribe to this mod's changes

fixthis-feedback-loop is a skill published in the GitHub repository beyondwin/FixThis (5 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 225 once invoked, about $0.0001 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 2026-08-31.

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