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/eestevanell/codex-planning-kit/issue-plan-briefnpx skills add EEstevanell/codex-planning-kit --skill issue-plan-briefgit clone --depth 1 https://github.com/EEstevanell/codex-planning-kitWrote 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/eestevanell/codex-planning-kit/issue-plan-brief)<a href="https://agentmods.dev/skills/eestevanell/codex-planning-kit/issue-plan-brief"><img src="https://agentmods.dev/badge/skills/eestevanell/codex-planning-kit/issue-plan-brief.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 | $0.00092 | $0.00983 |
| Opus 5 | $0.00046 | $0.00491 |
| Sonnet 5 | $0.00018 | $0.00197 |
| Haiku 4.5 | $0.00009 | $0.00098 |
Grade A, and why
issue-plan-brief 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Issue Plan Brief
Overview
Produce a detailed, skimmable tech lead brief for an issue card and its ExecPlan: what the system does today, what we want it to do, how the plan achieves that, where code will change, and what could go wrong.
Inputs (required)
ISSUE_PATH: Repository-relative path to the issue card Markdown file.EXECPLAN_PATH: Repository-relative path to the ExecPlan Markdown file.
If either path is missing or ambiguous, ask the user for it before proceeding.
Procedure
-
Read
AGENTS.mdandPLANS.md(repo root) to orient on architecture and constraints, but do not turn this into an alignment audit. If you discover misalignment blockers, stop after "Executive Summary" and add "Alignment gaps: runalign-issue-card" in the output. -
Read
ISSUE_PATHfully and extract:- Outcomes (user-visible behavior), Problem statement, Investigation findings, Definitions.
- In-scope requirements + non-goals.
- Acceptance criteria + verification plan.
- Prior art file list and any related issues.
-
Read
EXECPLAN_PATHfully and extract:- Purpose / Big picture, Context and orientation, Plan of work, Concrete steps, Validation and acceptance.
- Interfaces/dependencies and any decision log entries.
-
Confirm "what we have" with evidence:
- Use the issue's prior-art pointers to open the 1-3 most relevant production files and verify the current behavior described by the issue card (don't rely on assumptions).
- Summarize current state as behavior + data flow + key code anchors (paths + type/function names), not as a prose dump.
-
Summarize "what we want":
- Restate desired outcomes in user-visible terms.
- Enumerate new/changed data fields and contracts that cross boundaries (backend <-> client, persistence, vendor integration).
- Explicitly restate non-goals to constrain scope.
-
Describe the "overall implementation proposal" (the schema):
- Write an end-to-end flow that connects the change from input -> mapping/logic -> API -> UI -> persistence/guards -> observable outputs/errors.
- Call out the key invariants the implementation must preserve (e.g., "no persisted changes on blocked flow", "backwards compatible JSON", "no silent fallbacks").
- Name the concrete touched layers/modules/projects in this repo and their responsibilities.
- List the main file touchpoints and what each contributes (add field, map it, render it, block edit, add tests).
- Provide a compact "critical contracts" list (DTOs, JSON fields, public interfaces) that must stay consistent.
What ships with it
1 file 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.
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 · 72 lines · 92 tokens per session scan A 0fb725245203
issue-plan-brief is a skill published in the GitHub repository EEstevanell/codex-planning-kit (2 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 983 once invoked, about $0.0005 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.
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