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.
npx skills add KirKruglov/claude-skills-kit --skill weekly-ai-workflow-reviewgit clone --depth 1 https://github.com/KirKruglov/claude-skills-kitWrote 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/kirkruglov/claude-skills-kit/weekly-ai-workflow-review)<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/weekly-ai-workflow-review"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/weekly-ai-workflow-review/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/kirkruglov/claude-skills-kit/weekly-ai-workflow-review"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/weekly-ai-workflow-review.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 | $0.00073 | $0.01669 |
| Opus 5 | $0.00036 | $0.00834 |
| Sonnet 5 | $0.00015 | $0.00334 |
| Haiku 4.5 | $0.00007 | $0.00167 |
Grade A, and why
weekly-ai-workflow-review 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weekly AI Workflow Review
This skill analyzes weekly notes about tasks delegated to Claude and produces a structured reflection report: what worked, what needed rework, recurring task types, and recommended prompt templates for the next week.
Input:
- Markdown file or pasted text with weekly Claude task log (task descriptions, prompts or their summaries, outcomes: used / edited / discarded)
Output:
- Structured markdown reflection report (inline in chat or saved as
weekly-ai-review-YYYY-MM-DD.mdon request)
Language Detection
Detect the user's language from their message:
- If Russian (or contains Cyrillic): respond in Russian
- If English (or other Latin-script language): respond in English
- If ambiguous: respond in the language of the trigger phrase used
Localization note: When responding in Russian, translate all section headers and prompts in the Output Format template:
- "Weekly AI Workflow Review" → "Еженедельный обзор AI-рабочего процесса"
- "Period" → "Период", "Tasks analyzed" → "Задач проанализировано"
- "Patterns of the Week" → "Паттерны недели"
- "What Worked Well" → "Что работало хорошо"
- "Areas for Improvement" → "Зоны улучшения"
- "Recommended Prompt Templates" → "Рекомендованные промпт-шаблоны"
- "Takeaway" → "Итог"
Instructions
Step 1: Validate and Parse Input
-
Check that input contains at least 1 task description or prompt
- If input is empty or contains only a file header: stop and return: "Task log not found. Please paste your weekly list of tasks delegated to Claude."
- If input appears unrelated to AI/Claude interactions (e.g., general journal, shopping list): return: "No Claude-related tasks found in the provided notes. Please include descriptions of tasks you delegated to Claude this week."
-
Parse entries from the input
- Accept both structured (markdown list) and unstructured (plain text) formats
- Extract for each entry: task description, prompt or summary, outcome if noted (used / edited / discarded / unclear)
- If entries are unstructured plain text: attempt to identify task boundaries by paragraph, line break, or numbered list patterns
- If task boundaries cannot be clearly identified (continuous spaghetti text): request a minimal structure: "Unable to parse task boundaries from the text. Please provide tasks as a list (bullet points, numbers, or line breaks between entries) so I can analyze them accurately."
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 163 lines · 73 tokens per session scan A 4195a04b76eb
weekly-ai-workflow-review is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 1,669 once invoked, about $0.0004 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 2026-09-03.
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