upskill

upskill is a skill for Claude Code, Codex from davidmigloz/ai_clients_dart. It costs 78 tokens per session (3,163 once invoked), scanned A, original, MIT.

A process for learning from validated comments on merged pull requests, which are proposed code changes reviewed before being added to a project.

In plain words
What is it for?
Use it to extract accepted review findings, analyze them, preview proposed updates, or update skill files after confirmation.
Why use it?
It turns repeated review feedback into reusable checklists and implementation guidance, helping prevent the same problems in future changes.

Skill for Claude CodeCodex

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md; mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to extract accepted review findings, analyze them, preview proposed updates, or update skill files after confirmation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidmigloz/ai_clients_dart/upskill
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 davidmigloz/ai_clients_dart --skill upskill
Clone the repo
git clone --depth 1 https://github.com/davidmigloz/ai_clients_dart

Made for: Claude Code, Codex.

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 upskill

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/upskill/github.svg)](https://agentmods.dev/skills/davidmigloz/ai_clients_dart/upskill)
Your own site
<a href="https://agentmods.dev/skills/davidmigloz/ai_clients_dart/upskill"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/upskill/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 upskill

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidmigloz/ai_clients_dart/upskill"><img src="https://agentmods.dev/badge/skills/davidmigloz/ai_clients_dart/upskill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,163 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 4
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
  • high Rogue Agent · line 205
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
How audits are shown
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 $0.00078 $0.03163
Opus 5 $0.00039 $0.01581
Sonnet 5 $0.00016 $0.00633
Haiku 4.5 $0.00008 $0.00316

Measured 9d ago against content hash 2d9f3fcb8735, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

upskill 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.

.agents/skills/upskill/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Upskill Skill for ai_clients_dart

This skill automates the feedback loop from PR reviews to skill files. It extracts validated review findings (comments marked **Valid.** by the PR author), consolidates them into generalizable patterns, and updates the review checklists and implementation pattern files to prevent recurring issues.

Parse $ARGUMENTS for options:

  • /upskill — Full apply mode (no flags). Runs the complete workflow (Steps 1–9), updating files and state after confirmation.
  • --plan — Extract and analyze findings without editing any files. Safe to run anytime.
  • --dry-run — Run the full apply workflow (extraction, consolidation, validation, proposed updates) but stop before actually editing files. Shows exactly what would change without changing anything.
  • --from N — Start after PR number N instead of the config's last_checked_pr.

Step 1: Validate Environment

Perform all checks before proceeding. Fail fast with an actionable error message if any check fails.

  1. CLI availability: git, gh, and jq must be on PATH.
  2. GitHub auth: gh auth status must show authenticated.
  3. Repository root: Use git rev-parse --show-toplevel to determine the repo root. All file paths are relative to this root.

Note: The Bash tool does not persist cd across calls. Prefix all shell commands with cd "$REPO_ROOT" && or use absolute paths.

  1. Rate limit: Check remaining API calls:
    gh api rate_limit --jq '.rate.remaining'
    
    If remaining < 100, warn the user and stop — the extraction phase makes many API calls.

Step 2: Determine PR Range

  1. Read .agents/skills/upskill/config/state.json:
    {
      "last_checked_pr": 122,
      "last_run_date": "2026-03-19"
    }
    

    Note: On the very first run, last_run_date will be null. In this case, rely solely on last_checked_pr to determine the PR range.

  2. If the file does not exist or is unreadable, default last_checked_pr to 0 and warn: "No state file found — this is a first run, scanning all merged PRs."
  3. If --from N was provided, override last_checked_pr with N.
  4. Set START_PR to the effective starting PR number: use the --from N value if provided, otherwise last_checked_pr from state.
  5. Record the starting PR number for the summary.

Read the full file on GitHub · 280 lines

Files

What ships with it

1 file 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.

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. 9d ago First seen · 280 lines · 78 tokens per session scan A 2d9f3fcb8735

Subscribe to this mod's changes

upskill is a skill published in the GitHub repository davidmigloz/ai_clients_dart (24 stars, last pushed today), licensed MIT. It adds 78 tokens to every session and 3,163 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 2026-08-30.