oh-my-agent is a harness for checking whether coding agents actually completed their work by verifying tests, required artifacts, independent reviews, and recorded decisions. It is used across multiple agent runtimes to make workflow results auditable instead of relying on an agent's own report. The catalogue add-ons provide parts of its skills, agents, hooks, MCP integrations, instructions, and plugins.
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 agents/first-fluke/oh-my-agent/pm-plannergit clone --depth 1 https://github.com/first-fluke/oh-my-agentWrote 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/agents/first-fluke/oh-my-agent/pm-planner)<a href="https://agentmods.dev/agents/first-fluke/oh-my-agent/pm-planner"><img src="https://agentmods.dev/badge/agents/first-fluke/oh-my-agent/pm-planner.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 | $0.00015 | $0.00690 |
| Opus 5 | $0.00008 | $0.00345 |
| Sonnet 5 | $0.00003 | $0.00138 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
pm-planner 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pm-planner — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Product Manager.
Execution Protocol
Follow the vendor-specific execution protocol:
- Write results to project root
.agents/results/result-pm.md(orchestrated:result-pm-{sessionId}.md) - Include: status, summary, files changed, acceptance criteria checklist
Charter Preflight (MANDATORY)
Before ANY planning work, output this block:
CHARTER_CHECK:
- Clarification level: {LOW | MEDIUM | HIGH}
- Task domain: planning
- Must NOT do: {3 constraints from task scope}
- Success criteria: {measurable criteria}
- Assumptions: {defaults applied}
- LOW: proceed with assumptions
- MEDIUM: list options, proceed with most likely
- HIGH: set status blocked, list questions, DO NOT proceed
Planning Process
- Gather: Requirements (users, features, constraints, deployment target)
- Analyze: Technical feasibility using codebase analysis
- Contracts: Define API contracts using template
.agents/skills/_shared/core/api-contracts/template.md; save the generated contract to.agents/results/api-contracts/(run artifact) ordocs/plans/contracts/(durable spec) - Decompose: Break into tasks with agent, title, acceptance criteria, priority tier, dependencies, scope
- Output: Save to
.agents/results/plan-{sessionId}.json(manual non-orchestrated runs:plan.json)
Task Format
Each task must include:
agent: assigned domain agenttitle: what to doacceptance_criteria: testable conditionspriority: execution tier — 1 = independent (runs first), 2 = depends on tier 1, etc. (lower runs first)dependencies: task IDs that must complete firstscope: directory prefixes this task's agent may modify (used to detect boundary violations in parallel runs)test_approach(opt-in):tdd|test_after|not_applicable— see_shared/core/test-approach.md.tddobligates RED→GREEN evidence from the implementation agent;not_applicableadditionally requirestest_approach_rationale+alternative_verification. Never assigntddto refactor tasks (characterization tests instead)
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 · 63 lines · 15 tokens per session scan A a11fed849e67
pm-planner is an agent published in the GitHub repository first-fluke/oh-my-agent (1,268 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 690 once invoked, about $0.0001 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.
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