fix-p0-issues

fix-p0-issues is a skill for Claude Code, Codex from OutlineDriven/outline-driven-development. It costs 43 tokens per session (1,204 once invoked), scanned A, original, Apache-2.0.

A procedure for handling the repository's highest-priority issues, called P0 issues. It finds the latest weekly product briefing, identifies actionable issues, and can arrange coding-agent runs when explicitly approved.

In plain words
What is it for?
Use it to review the latest product briefing, triage its critical issues, start approved remote coding-agent runs, and report their run IDs and monitoring commands.
Why use it?
It turns an urgent issue list into a tracked set of actions while recording skipped items and avoiding unapproved agent runs.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Good fit Use it to review the latest product briefing, triage its critical issues, start approved remote coding-agent runs, and report their run IDs and monitoring commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/outline-driven-development/fix-p0-issues
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.

Any agent
npx skills add OutlineDriven/outline-driven-development --skill fix-p0-issues
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/outline-driven-development

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 fix-p0-issues

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/fix-p0-issues.svg)](https://agentmods.dev/skills/outlinedriven/outline-driven-development/fix-p0-issues)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/fix-p0-issues"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/fix-p0-issues.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,204 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 39
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00043 $0.01204
Opus 5 $0.00022 $0.00602
Sonnet 5 $0.00009 $0.00241
Haiku 4.5 $0.00004 $0.00120

Measured 4d ago against content hash 4120605faabf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

fix-p0-issues 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 4d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.devin/skills/fix-p0-issues/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fix P0 issues

Contract

Field Bound contract
Trigger User asks to fix P0s, address critical issues, or work on priorities from the weekly product briefing.
Authority Human-only. No agent is spawned without explicit user confirmation. Remote mutation is limited to spawning ODIN cloud coding agents for triaged, actionable P0s.
Side effect Triages P0s, spawns high-confidence agents, and reports run IDs and monitoring commands.
Done Actionable P0s have run IDs; skipped items are documented; no agent runs without user confirmation.

Inputs

  • The repository root, resolved via git rev-parse --show-toplevel.
  • The most recent weekly product briefing under reports/weekly_product_briefings/*.md.
  • Optional: GitHub issue numbers embedded in briefing P0 sections as #NNNN.

Procedure

  1. Resolve the repository root. Find the most recent briefing by sorting filenames, which contain YYYY-MM-DD dates. Do not use ls -t because filesystem modification times are unreliable in freshly cloned repos.
    REPO_ROOT=$(git rev-parse --show-toplevel)
    ls "$REPO_ROOT/reports/weekly_product_briefings/"*.md 2>/dev/null | sort | tail -1
    
    Done when: the most recent briefing is identified by path.
  2. Parse the briefing for sections starting with #### P0:. For each P0, extract the title (text after #### P0:), GitHub issue numbers (#NNNN patterns), the problem description paragraph(s), and any engineering-alignment notes. Done when: every P0 section is parsed with title, issue numbers, description, and alignment notes.
  3. When a P0 includes issue numbers, fetch the GitHub issue details (gh issue view <issue_number> --repo <org>/<repo>). Then search the codebase using keywords from the issue. Document relevant file paths, related code or tests, and dependencies. Done when: every P0 with issue numbers has its issue fetched and codebase searched.
  4. Triage each P0 into one category and record the decision:
    • Inactionable Complaint: no specific description, reproduction steps, or fix indication. Skip; note in the report.
    • Bug Fix: clearly scoped, has reproduction steps or a clear error, narrow scope, identifiable root cause. Decision: Spawn Agent.
    • Feature Request: assess scope (Small 1-2 files, Medium 3-10 files, Large 10+ files or architectural), complexity, and confidence 1-5. Confidence 5 or 4 → Spawn Agent (4 with caveats); 3 or lower → Skip and note. Skip any P0 the briefing notes is already being addressed on an active branch. Do not spawn more than 3 agents at once. Done when: every P0 has a category and decision recorded.
  5. For each P0 marked Spawn Agent, construct a prompt containing the issue number and title, problem description, fetched issue details, relevant file paths, and task (investigate, implement fix, add or update tests, create a PR with a clear description). Present the full spawn plan to the user, including P0 titles, issue numbers, categories, confidence, decisions, and constructed prompts. Obtain explicit confirmation before proceeding. Do not spawn any agent without confirmation. Done when: the spawn plan is presented and explicit confirmation is obtained or refused.
  6. For each confirmed P0, spawn an ODIN cloud coding agent:
    odin agent run-cloud \
      --environment <ODIN_ENVIRONMENT_ID> \
      --prompt "<constructed prompt>"
    
    Use exactly odin to spawn cloud agents. If odin is not available, stop and report the error rather than substituting another binary. Done when: every confirmed P0 has a cloud agent spawned (or odin is unavailable and the skill stops).
  7. Record each spawned agent's run ID and emit the report described in Output. Done when: every spawned agent's run ID is recorded and the report is emitted.

Read the full file on GitHub · 80 lines

Files

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.

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. 4d ago First seen · 80 lines · 43 tokens per session scan A 4120605faabf

Subscribe to this mod's changes

fix-p0-issues is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,204 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 2026-09-03.

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