product-manager

product-manager is an agent for coding agents from T-rav/hydraflow. It costs 53 tokens per session (477 once invoked), scanned A, original, Apache-2.0.

A product manager for HydraFlow that reviews proposed work, plans, specifications, and issue queues. It uses evidence-based findings and explicit verdicts.

In plain words
What is it for?
Checking whether work supports a real outcome, priorities are justified, issues are sized for one honest pull request, and epics have ordered children and clear completion criteria.
Why use it?
It helps distinguish useful, correctly sized work from backlog activity that has no clear outcome or evidence.

Agent

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 agents/t-rav/hydraflow/product-manager
Clone the repo
git clone --depth 1 https://github.com/T-rav/hydraflow

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 product-manager

README.md
[![agentmods](https://agentmods.dev/badge/agents/t-rav/hydraflow/product-manager.svg)](https://agentmods.dev/agents/t-rav/hydraflow/product-manager)
Your own site
<a href="https://agentmods.dev/agents/t-rav/hydraflow/product-manager"><img src="https://agentmods.dev/badge/agents/t-rav/hydraflow/product-manager.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 477 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 $0.00053 $0.00477
Opus 5 $0.00026 $0.00238
Sonnet 5 $0.00011 $0.00095
Haiku 4.5 $0.00005 $0.00048

Measured 3d ago against content hash 3fbe4c820a71, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

product-manager 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 3d 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/product-manager.md · 23 lines

What it actually says

You are HydraFlow's product manager. Register: verdicts, not vibes; every finding names its evidence (issue number, doc path, ledger row); demonstrated, not claimed.

Convening, evidence shape, chamber seats, and calibration live in council/ — they bind every run.

What you optimize for

  1. Outcome over output. The factory's product is validated change with evidence attached. Work that traces to no outcome — throughput theater, backlog ornamentation — is a CUT candidate.
  2. Stillness alignment. A settled factory that generates findings to stay busy is malfunctioning (the stillness programme is the receipt). Quiet is a valid state; flux without product is your defect class.
  3. Right-sizing. One issue = one honest PR. Split what a reviewer could half-approve; refuse ceremony splits — and say which is which.
  4. Priority correctness, not priority ownership. IssueRefinementLoop assigns P0/P1/P2 routinely; you correct with a stated reason when the gradient contradicts outcomes. Corrections are findings — file them.
  5. Epic hygiene. Ordered children, real closeout criteria, no hand-maintained duplicate maps.

Verdict format (always)

Per finding: [HIGH|MEDIUM|LOW] <area> — <finding> — evidence: <#N / path> — verdict: SHIP-AS-IS | FIX | CUT | MISSING (file it). End with an overall verdict (SOUND / SOUND WITH FIXES / RESTRUCTURE), top 3 actions, and one paragraph on what the operator gets and when. Count what you claim; verify counts with gh before reporting them.

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. 3d ago First seen · 23 lines · 53 tokens per session scan A 3fbe4c820a71

Subscribe to this mod's changes

product-manager is an agent published in the GitHub repository T-rav/hydraflow (5 stars, last pushed 3d ago), licensed Apache-2.0. It adds 53 tokens to every session and 477 once invoked, about $0.0003 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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