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 agentmods add skills/ledgerhq/ledger-live/create-prnpx skills add LedgerHQ/ledger-live --skill create-prgit clone --depth 1 https://github.com/LedgerHQ/ledger-liveWrote 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/ledgerhq/ledger-live/create-pr)<a href="https://agentmods.dev/skills/ledgerhq/ledger-live/create-pr"><img src="https://agentmods.dev/badge/skills/ledgerhq/ledger-live/create-pr.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.01183 |
| Opus 5 | $0.00010 | $0.00592 |
| Sonnet 5 | $0.00004 | $0.00237 |
| Haiku 4.5 | $0.00002 | $0.00118 |
Grade A, and why
create-pr 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 6d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!TIP]
Note: this skill is for manual, user-invocation only. Agents should only read this only when it is specifically invoked. Canonical Git conventions take precedence over this command.
Create PR
Create a pull request with a valid title, description, changeset, and all required elements.
Prompt Variables
$TICKET_URL
Paste the JIRA or GitHub issue URL (e.g., https://ledgerhq.atlassian.net/browse/LIVE-1234)
$TICKET_DESCRIPTION
Describe the ticket context: What is the problem? What should be done? Include acceptance criteria if available.
$CHANGE_TYPE
Select the type of change: feat | fix | refactor | test | docs | chore
$CHANGE_SCOPE
Summarise the scope in a single term? (e.g. architecture, coin-evm, counter-values, e2e, portfolio, swap)
$TEST_COVERAGE
Are changes covered by tests? yes | no | partial - If not fully covered, explain why.
$QA_FOCUS_AREAS
What specific areas should QA focus on when testing this PR?
$HAS_UI_CHANGES
Are there visual/UI changes? yes | no - If yes, you will need to edit the PR description to add screenshots.
Instructions
Step 1: Analyze the changes
- Follow
docs/contributing/git-conventions.mdfor valid commit messages - Run
git statusandgit diffto understand current changes - Run
git log develop..HEAD --onelineto see commits on this branch - Identify all modified packages for the changeset
Step 2: Create the changeset
- Use the
create-changesetskill to add a changeset for the modified packages.
Step 3: Prepare the PR
Generate the PR body using .github/pull_request_template.md.
Step 4: Create the Pull Request
First, push the branch:
git push -u origin HEAD
Then create the PR as draft and capture the URL:
PR_URL=$(gh pr create --draft --title "{{PR_TITLE}}" --body "$(cat <<'EOF'
{{GENERATED_PR_BODY}}
EOF
)")
Then open the PR in the browser:
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.
- 6d ago First seen · 160 lines · 21 tokens per session scan A ce80315cc837
create-pr is a skill published in the GitHub repository LedgerHQ/ledger-live (616 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,183 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…