own-planner: Skill for Codex

.agents/skills/develop-ownplanner-feature/SKILL.md

develop-ownplanner-feature is a skill for Codex from am-space/own-planner. It costs 123 tokens per session (1,573 once invoked), scanned A, original, MIT.

A workflow for planning, implementing, reviewing, and verifying a feature in the OwnPlanner repository, based on a GitHub issue or a direct request.

In plain words
What is it for?
Use it for new OwnPlanner behavior or cross-layer changes involving the domain, backend, API, MCP, command-line interface, frontend, or tests.
Why use it?
It keeps feature work tied to clear requirements and checks the affected code layers before handing over the result.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is am-space/own-planner's own configuration. It tells Codex how to work on own-planner 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 own-planner configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is ./scripts/verify.sh --all.

Reuse

Borrowing it

Nothing to install: this file belongs to am-space/own-planner. 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/am-space/own-planner/master/.agents/skills/develop-ownplanner-feature/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/am-space/own-planner

Made for: 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 develop-ownplanner-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/am-space/own-planner/develop-ownplanner-feature/github.svg)](https://agentmods.dev/skills/am-space/own-planner/develop-ownplanner-feature)
Your own site
<a href="https://agentmods.dev/skills/am-space/own-planner/develop-ownplanner-feature"><img src="https://agentmods.dev/badge/skills/am-space/own-planner/develop-ownplanner-feature/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 develop-ownplanner-feature

Your own site · 80×15
<a href="https://agentmods.dev/skills/am-space/own-planner/develop-ownplanner-feature"><img src="https://agentmods.dev/badge/skills/am-space/own-planner/develop-ownplanner-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,573 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 $0.00123 $0.01573
Opus 5.5 $0.00049 $0.00629
Sonnet 5.5 $0.00025 $0.00315
Haiku 4.5 $0.00012 $0.00157

Measured 2mo ago against content hash 60260c7bff4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

develop-ownplanner-feature 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 2mo 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/develop-ownplanner-feature/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Develop an OwnPlanner Feature

Execute an issue-driven feature as a traceable sequence: intake, plan, plan review, implementation, verification, and handoff. Touch only the layers required by the behavior.

Treat the Issue as the Contract

  • Treat the repository issue as the canonical record of the outcome, acceptance criteria, discussion, and implementation history.
  • Treat GitHub Project fields such as Status, Priority, Size, and Iteration as planning context, not as a duplicate feature specification.
  • Follow parent issues, sub-issues, dependencies, linked plans, ADRs, and prior pull requests when they affect scope.
  • Use a Project draft only for discovery. Ask the user to convert it to a repository issue before creating a branch or pull request that must close it.
  • If given a direct request instead of an issue, form a temporary feature contract from the request. Do not create an issue or modify GitHub state unless the user authorizes it.

Follow the Required Workflow

1. Read the Issue and Repository State

  1. Read the root and applicable scoped AGENTS.md files.
  2. Inspect the worktree, current branch, and relationship to master. Preserve unrelated user changes.
  3. Read the issue, including comments and relationships. Prefer gh issue view <number-or-url> --comments when GitHub CLI access is available.
  4. Extract:
    • user-visible outcome;
    • acceptance criteria and edge cases;
    • explicit exclusions;
    • priority and planning context;
    • dependencies and blockers;
    • unresolved product or technical decisions.
  5. Decide whether the issue is ready. Record harmless assumptions. Pause for user direction only when ambiguity would materially change behavior, public contracts, stored data, security, or scope.

Do not silently edit the issue, Project fields, relationships, or comments. External planning changes require authorization.

2. Explore Existing Patterns

  1. Find the closest implemented feature and its tests.
  2. Inspect relevant reference docs and ADRs before proposing a new abstraction.
  3. Reuse existing naming, folders, DTOs, errors, authentication, tenant resolution, and test patterns.
  4. Read references/feature-paths.md for every potentially affected delivery or persistence path.

Read the full file on GitHub · 122 lines

Files

What ships with it

3 files 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. 2mo ago First seen · 122 lines · 123 tokens per session scan A 60260c7bff4c

Subscribe to this mod's changes

develop-ownplanner-feature is a skill published in the GitHub repository am-space/own-planner (2 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 1,573 once invoked, about $0.0005 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.

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