implement-findings

implement-findings is a skill for Claude Code from tobihagemann/turbo. It costs 37 tokens per session (241 once invoked), scanned A, original, MIT.

A workflow for applying findings that have already been evaluated, then closing the change with quality checks.

In plain words
What is it for?
It is for executing accepted review fixes and choosing full or quick finalisation.
Why use it?
It removes the manual coordination needed to run style checks, make accepted fixes, and decide how thoroughly to verify them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the turbo plugin — 71 skills shipped together

Good fit It is for executing accepted review fixes and choosing full or quick finalisation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tobihagemann/turbo/implement-findings
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.

Any agent
npx skills add tobihagemann/turbo --skill implement-findings
Clone the repo
git clone --depth 1 https://github.com/tobihagemann/turbo

Made for: Claude Code.

Or install turbo, the plugin that ships this one along with the rest of its 71 skills.

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.

agentmods badge for implement-findings

README.md
[![agentmods](https://agentmods.dev/badge/skills/tobihagemann/turbo/implement-findings/github.svg)](https://agentmods.dev/skills/tobihagemann/turbo/implement-findings)
Your own site
<a href="https://agentmods.dev/skills/tobihagemann/turbo/implement-findings"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/implement-findings/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.

agentmods 80×15 button for implement-findings

Your own site · 80×15
<a href="https://agentmods.dev/skills/tobihagemann/turbo/implement-findings"><img src="https://agentmods.dev/badge/skills/tobihagemann/turbo/implement-findings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 241 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.00241
Opus 5.5 $0.00015 $0.00096
Sonnet 5.5 $0.00007 $0.00048
Haiku 4.5 $0.00004 $0.00024

Measured 3d ago against content hash 2e9e78f47060, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement-findings 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 3d 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.

claude/skills/implement-findings/SKILL.md · 36 lines

What it actually says

Implement Findings

Apply evaluated findings and close out the change.

Task Tracking

At the start, use TaskCreate to create a task for each step:

  1. Run /code-style skill
  2. Run /apply-findings skill
  3. Close out the change

Step 1: Run /code-style Skill

Run the /code-style skill to load existence, reuse, mirror, and symmetry rules before editing.

Step 2: Run /apply-findings Skill

Run the /apply-findings skill on the evaluated findings.

Step 3: Close Out the Change

If no changes were made, skip this step.

Use AskUserQuestion to choose how to close out the change:

  • Full QA — run the /finalize skill
  • Quick close — run the /quick-finalize skill

Then use the TaskList tool and proceed to any remaining task.

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.

  1. 3d ago First seen · 36 lines · 37 tokens per session scan A 2e9e78f47060

Subscribe to this mod's changes

implement-findings is a skill published in the GitHub repository tobihagemann/turbo (420 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 241 once invoked, about $0.0001 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 2026-11-09.

Related

implement-findings compared with skills from other repositories

implement-findings next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
implement-findingstobihagemann/turboSkill420todayMITA37Claude Code
doubt-driven-developmentaddyosmani/agent-skillsSkill117k11d agoMITA96Claude Code
ego-lite-simplifycitrolabs/ego-liteSkill23kyesterdayMITA68Codex
incident-postmortemmohitagw15856/pm-claude-skillsSkill1.5ktodayMITA87Claude Code, Codex
ai-slop-cleanervibeeval/vibecosystemSkill547yesterdayMITA50Claude Code, Codex
code-review-checklistmohitagw15856/pm-claude-skillsSkill1.5ktodayMITA88Claude Code, Codex
pr-description-writermohitagw15856/pm-claude-skillsSkill1.5ktodayMITA80Claude Code, Codex