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/pproenca/unifi-mcp/pr-draft-summarynpx skills add pproenca/unifi-mcp --skill pr-draft-summarygit clone --depth 1 https://github.com/pproenca/unifi-mcpWrote 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/pproenca/unifi-mcp/pr-draft-summary)<a href="https://agentmods.dev/skills/pproenca/unifi-mcp/pr-draft-summary"><img src="https://agentmods.dev/badge/skills/pproenca/unifi-mcp/pr-draft-summary.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 | $0.00042 | $0.00529 |
| Opus 5 | $0.00021 | $0.00264 |
| Sonnet 5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
pr-draft-summary 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 5d 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.
What it actually says
PR Draft Summary
Purpose
Produce the PR-ready summary after substantive code work: a concise summary plus a PR title and draft description. The block should be ready to paste into a PR.
When to Trigger
- The task is finished and it touched runtime code (
src/), tests, docs with behavior impact, or build configuration. - Default final handoff step for substantive code work.
- Skip for trivial or conversation-only tasks, or when the user says not to.
Inputs to Collect Automatically
- Current branch:
git rev-parse --abbrev-ref HEAD - Working tree:
git status -sb - Untracked files:
git ls-files --others --exclude-standard - Changed files:
git diff --name-onlyandgit diff --name-only --cached - Latest release tag:
git tag -l 'v*' --sort=-v:refname | head -n1 - Base reference:
git rev-parse --abbrev-ref --symbolic-full-name @{upstream} 2>/dev/null || echo origin/main - Commits ahead:
git log --oneline --no-merges ${BASE_COMMIT}..HEAD
Workflow
- Run the commands above without asking the user.
- If no changes detected, say so and skip the block.
- Classify as feature, fix, refactor, or docs and flag backward-compatibility risk against the latest release tag.
- Summarize changes in 1-3 sentences using key paths and diff stats.
- Choose the lead verb: feature →
adds, fix →fixes, refactor →improves, docs →updates. - Suggest a branch name if on main:
feat/<slug>,fix/<slug>, ordocs/<slug>. - Draft using the template below.
Output Format
# Pull Request Draft
## Branch name suggestion
git checkout -b <kebab-case, e.g., feat/add-firewall-tools>
## Title
<single-line imperative title, e.g., "feat: add firewall management tools">
## Description
<Start with "This pull request adds/fixes/improves ...", explain the change, any behavior changes or considerations. No need to list tests.>
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.
- 5d ago First seen · 55 lines · 42 tokens per session scan A 21eff4849e96
pr-draft-summary is a skill published in the GitHub repository pproenca/unifi-mcp (2 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 529 once invoked, about $0.0002 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.
Other skills, from other repositories
unifi-cli
Use when asked about UniFi network gear or the local network — access points, gateway, switches, WiFi, or which clients/devices are connected. Queries the local UniFi gateway via the unifi CLI.
design-mcp-server
Design the tool surface, resources, and service layer for a new MCP server. Use when starting a new server, planning a major feature expansion, or when the user describes a domain/API they want to expose via MCP. Produces a design doc at docs/design.md that drives implementation.
add-tool
Scaffold a new MCP tool definition. Use when the user asks to add a tool, create a new tool, or implement a new capability for the server.
api-context
Canonical reference for the unified Context object passed to every tool and resource handler in @cyanheads/mcp-ts-core. Covers the full interface, its RequestContext base, all sub-APIs (ctx.log, ctx.state, ctx.requestInput, ctx.inputs, ctx.enrich, ctx.content), and when to use each.
api-linter
MCP definition linter rules reference. Use when bun run lint:mcp or bun run devcheck reports a lint error or warning (format-parity, schema-is-object, name-format, server-json-, etc.) and you need to understand the rule, its severity, and how to fix it. Every rule ID the linter emits has an entry in this doc.
api-canvas
DataCanvas primitive reference — a Tier 3 SQL/analytical workspace for tabular MCP servers, backed by DuckDB. Use when registering tables from upstream APIs, running ad-hoc SQL across them, and exporting results. Covers the acquire → register → query → export flow, per-table TTL, the token-sharing pattern for…