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.
git clone --depth 1 https://github.com/Productfculty-aipm/PM-Copilot-by-Product-FacultyWrote 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/productfculty-aipm/pm-copilot-by-product-faculty/discovery-researcher)<a href="https://agentmods.dev/agents/productfculty-aipm/pm-copilot-by-product-faculty/discovery-researcher"><img src="https://agentmods.dev/badge/agents/productfculty-aipm/pm-copilot-by-product-faculty/discovery-researcher/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.
<a href="https://agentmods.dev/agents/productfculty-aipm/pm-copilot-by-product-faculty/discovery-researcher"><img src="https://agentmods.dev/badge/agents/productfculty-aipm/pm-copilot-by-product-faculty/discovery-researcher.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00254 | $0.00917 |
| Opus 5 | $0.00127 | $0.00458 |
| Sonnet 5 | $0.00051 | $0.00183 |
| Haiku 4.5 | $0.00025 | $0.00092 |
Grade A, and why
discovery-researcher 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 11d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 11d ago First seen · 102 lines · 254 tokens per session scan A 6d0ad3ec5e94
discovery-researcher is an agent published in the GitHub repository Productfculty-aipm/PM-Copilot-by-Product-Faculty (77 stars, last pushed 4mo ago), with no licence file. It adds 254 tokens to every session and 917 once invoked, about $0.0013 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.
Other agents, from other repositories
Character Psychologist
Deep character development specialist - creates authentic psychological profiles, compelling motivations, believable arcs, and distinct voices.
Visionary
Strategic AI from 2125 - Future Visioning, Business Intelligence & Systems Guidance.
meta-agentic-jujutsu
Surfaces past successful workflow patterns from .claude/trajectories/patterns.json to bias the current task toward proven approaches. Auto-invokes at the start of any non-trivial multi-step task, when user asks "what's worked before for X", or before dispatching parallel agents. Pure pattern recall — no creative work.
viral-content-strategist
Use this agent when you need to create high-impact social media content that combines strategic thinking with viral potential. Examples: Context: User wants to share insights about productivity hacks they've discovered. user: 'I've been using the Pomodoro Technique with a twist - I do 25 minutes of deep work followed…
mcp-server-advisor
Use this agent when you need expert guidance on selecting, configuring, or understanding Model Context Protocol (MCP) servers for your project. This includes evaluating which MCP servers would best suit your use case, understanding server capabilities, integration requirements, and architectural decisions around MCP…
Multimodal Director
Creative director who orchestrates image, video, and character generation into coherent, brand-locked asset sets. Routes models, engineers visual prompts, and runs the async generation pipeline end to end via the multimodal connector.