implement-issue

A workflow for taking a GitHub issue, checking it against the current code, implementing the needed change, testing it, reviewing it, and opening a draft pull request. A pull request is a proposal to merge code changes into a repository.

In plain words
What is it for?
It is for resolving a numbered GitHub issue end to end, including checking whether work is needed, running the project's completion checks, reviewing the result, and creating a draft pull request.
Why use it?
It brings investigation, implementation, testing, and review into one repeatable process based on evidence from the issue and repository.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/frostney/gocciascript/implement-issue
Any agent
npx skills add frostney/GocciaScript --skill implement-issue
Clone the repo
git clone --depth 1 https://github.com/frostney/GocciaScript

Made for: Claude Code, Codex.

Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,280 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00048 $0.01280
Opus 5 $0.00024 $0.00640
Sonnet 5 $0.00010 $0.00256
Haiku 4.5 $0.00005 $0.00128

Measured 2d ago against content hash c9061e4b4267, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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 · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 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.
  • Before proposing an option, assemble one neutral evidence packet from the issue, repository, reproduction, project contracts, current web research, and shared current-state artifacts. Derive every option from this same packet.
  • Define one comparison rubric from the issue outcome, constraints, and acceptance criteria before scoring. Give every viable option equivalent decision-relevant validation:
    • for UI/UX differences, show each materially different experience;
    • for architecture or workflow differences, show each relevant flow;
    • for interaction-heavy or technical claims, use comparable short-lived prototypes or measurements when static evidence cannot decide them. Equivalent checks do not require equal implementation effort. Label observed facts, proposed behavior, and prototype-only shortcuts.
  • If an option reveals an evidence gap, run the same relevant check for every affected option. When that is impossible, disclose the unequal evidence and reduce confidence before comparison.
  • 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.
  • Compare two to four genuinely distinct viable options against the declared rubric, then recommend one and wait for the user's choice unless automatic mode applies. Include a compact evidence digest with the most relevant source links, checked project versions, scores, and 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 · 111 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. 2d ago First seen · 111 lines · 48 tokens per session scan A c9061e4b4267

Subscribe to this mod's changes

implement-issue is a skill published in the GitHub repository frostney/GocciaScript (20 stars, last pushed 6d ago), licensed MIT. It adds 48 tokens to every session and 1,280 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 2026-08-30.

Related

Other skills, from other repositories

qcad

Use when editing DXF files with a professional open-source 2D CAD application — CAM output, part libraries, isometric projection. QCAD: open-source 2D CAD with DXF as native format, scriptable via ECMAScript.

znlgis/opengis-skills · 53 tokens

oxc-docs

Comprehensive reference for the JavaScript Oxidation Compiler (Oxc) — a collection of high-performance JavaScript tools written in Rust. Covers parser design (lexer, AST, parser, errors, semantic analysis), architecture (parser, linter, test infrastructure, AST tools), ECMAScript specification and grammar, performance…

pledgeandgrow/pledge-skills · 131 tokens

git-step-commit

Analyze Git changes, split them into coherent commits, infer message language and format, optionally close supplied GitHub issues, and execute safely. Manage persistent global or repository preferences for review versus direct submission and automatic or specified commit-message language through native Git config.…

bosens-China/tc39-atlas · 134 tokens

manage-prd-docs

Automatically manage product requirements across current decisions in docs/PRD.md and docs/prd/, mature future plans under docs/plans/, and active implementation under docs/work/. Use whenever the conversation discusses, clarifies, versions, plans, implements, completes, splits, or migrates a product requirement or…

bosens-China/tc39-atlas · 132 tokens

modernize-ecmascript

当 Agent 编写或修改 JavaScript、TypeScript,用户要求按指定环境、输出版本、ES20xx 或具体语法编写代码,询问某项 ECMAScript 语法、标准内置 API 或提案能否采用,或者要求审查仓库中可简化、可现代化的写法时,应使用本 Skill。围绕目标文件真实经过的解析器、转换器和输出目标判断新语法能否安全采用,并按需读取 TC39 Atlas 的提案阶段、官方仓库、polyfill 与实现线索。.

bosens-China/tc39-atlas · 130 tokens

codebase-audit

Audits the current repository for systemic correctness, architecture, churn, simplification, clarity, test value, and operational risks using current source and reproducible probes. It can delegate evidence gathering across bounded capability and perspective lanes. Use when the user runs /codebase-audit or asks for an…

frostney/pascal-mcp-sdk · 70 tokens