pascal-mcp-sdk: Skill for Claude Code

.agents/skills/implement-issue/SKILL.md

implement-issue is a skill for Claude Code, Codex from frostney/pascal-mcp-sdk. It costs 48 tokens per session (1,178 once invoked), scanned A, original, MIT.

A workflow for implementing a GitHub issue from investigation through a tested code change and draft pull request. GitHub issues are tracked requests for fixes, features, or other project work.

In plain words
What is it for?
Use it with an issue number to investigate the request, confirm whether work is needed, implement the change, run the project's checks, review the result, and open a draft pull request.
Why use it?
It turns an issue into a checked implementation by requiring project instructions, current evidence, reproduction, tests, review, and completion criteria.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is frostney/pascal-mcp-sdk's own configuration. It tells Claude Code and Codex how to work on pascal-mcp-sdk itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pascal-mcp-sdk configures →

Reuse

Borrowing it

Nothing to install: this file belongs to frostney/pascal-mcp-sdk. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/frostney/pascal-mcp-sdk/main/.agents/skills/implement-issue/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/frostney/pascal-mcp-sdk

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 implement-issue

README.md
[![agentmods](https://agentmods.dev/badge/skills/frostney/pascal-mcp-sdk/implement-issue/github.svg)](https://agentmods.dev/skills/frostney/pascal-mcp-sdk/implement-issue)
Your own site
<a href="https://agentmods.dev/skills/frostney/pascal-mcp-sdk/implement-issue"><img src="https://agentmods.dev/badge/skills/frostney/pascal-mcp-sdk/implement-issue/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-issue

Your own site · 80×15
<a href="https://agentmods.dev/skills/frostney/pascal-mcp-sdk/implement-issue"><img src="https://agentmods.dev/badge/skills/frostney/pascal-mcp-sdk/implement-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,178 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 $0.00048 $0.01178
Opus 5.5 $0.00019 $0.00471
Sonnet 5.5 $0.00010 $0.00236
Haiku 4.5 $0.00005 $0.00118

Measured 1mo ago against content hash fd46439047f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement-issue 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 1mo 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/implement-issue/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement issue

Resolve the issue end to end against the current repository, or establish with evidence that no implementation is needed.

Gates

  • Read the issue, project instructions, vision, contribution guidance, Definition of Ready, Definition of Done, relevant domain skills, real project commands, affected code paths, tests, and reproduction before deciding.
  • Always perform and record web search for current evidence before presenting options. Prefer official and primary sources, reconcile them with the versions in the checkout, and treat remembered links only as search leads. Stop if the search cannot produce current evidence relevant to the decision.
  • When grill-with-docs or grill-me is registered, run its actual user-question loop before presenting options. Prefer grill-with-docs; if neither exists, note that once and continue.
  • During the grill, proactively give the user visual or dynamic context selected by the affected surface:
    • for UI/UX, show upfront mockups for every materially different experience;
    • for architecture or workflows, show a diagram or flow;
    • for interaction-heavy or technical behavior, create a short-lived dynamic prototype for the recommendation or the interaction that cannot be judged statically. Show a shared current-state view when it helps compare options. Clearly label observed facts, proposed behavior, and prototype-only shortcuts.
  • Keep prototypes local and disposable, retain only reviewable captures and findings, and remove them when the grill concludes. Do not deploy or publish them. Preserve or promote a prototype only with explicit user approval; keep approved prototype material outside the selected worktree until its git-workflow synchronization gate passes.
  • Present two to four genuinely distinct evidence-backed options, recommend one, and wait for the user's choice unless automatic mode applies. Include a compact evidence digest with links to the most relevant current sources, checked project versions, and any mismatch or remaining uncertainty.
  • When current evidence conclusively fails a required prototype or readiness threshold, report that stop without asking whether to bypass the gate.
  • For any code or test change, complete the project gate, one bounded /code-review fix-all, and /create-pr.

Read the full file on GitHub · 105 lines

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. 1mo ago First seen · 105 lines · 48 tokens per session scan A fd46439047f5

Subscribe to this mod's changes

implement-issue is a skill published in the GitHub repository frostney/pascal-mcp-sdk (2 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 1,178 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

report-issue

File a bug or feature request against this repository (cyanheads/git-mcp-server) using the gh CLI. Use for tool logic bugs, git provider misbehavior, transport issues, auth/config problems, or new feature proposals.

cyanheads/git-mcp-server · 51 tokens

git-workflow

Trunk-based git workflow with worktrees, switch/restore over checkout, Conventional Commits, force-with-lease. Use whenever the user asks me to commit, push, branch, or rebase.

Kevin-Liu-01/Agent-Machines · 45 tokens

project-briefing

Generate an executive briefing of the last 24 hours of commits for the current project or a specified directory. Use when the user asks for a project update, daily briefing, commit summary, "what changed today," or wants to stay up-to-date with recent work.

Kevin-Liu-01/Agent-Machines · 58 tokens

split-to-prs

Split current work into small reviewable PRs. Use when the user asks to split a chat, set of changes, branch, or PR.

Kevin-Liu-01/Agent-Machines · 34 tokens

issue

Create a GitHub issue using the Dedalus issue templates (bug, feature, question). Injects branch and commit context automatically, prompts for Linear link. Use when creating a GitHub issue using Dedalus templates, or the user says "file an issue", "create issue", "open a bug", or "report a feature request".

Kevin-Liu-01/Agent-Machines · 70 tokens

oss-workflow

Open-source project success workflow for viznoir. Codifies contributor onboarding, release management (Release Please + PyPI), issue triage, and showcase curation. Triggers: release, contributor, onboarding, PyPI publish, issue triage, showcase, CHANGELOG, good first issue.

kimimgo/viznoir · 62 tokens