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/nmrtn/nanopm/pm-opportunitiesnpx skills add nmrtn/nanopm --skill pm-opportunitiesgit clone --depth 1 https://github.com/nmrtn/nanopmWrote 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/nmrtn/nanopm/pm-opportunities)<a href="https://agentmods.dev/skills/nmrtn/nanopm/pm-opportunities"><img src="https://agentmods.dev/badge/skills/nmrtn/nanopm/pm-opportunities.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 | $0.00113 | $0.10430 |
| Opus 5 | $0.00056 | $0.05215 |
| Sonnet 5 | $0.00023 | $0.02086 |
| Haiku 4.5 | $0.00011 | $0.01043 |
Grade C, and why
pm-opportunities scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
{ echo "ERROR: nanopm not installed. Run: curl -fsSL https://raw.githubusercontent.com/nmrtn/nanopm/main/setup | bash"; exit 1; } Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
{ echo "ERROR: nanopm not installed. Run: curl -fsSL https://raw.githubusercontent.com/nmrtn/nanopm/main/setup | bash"; exit 1; } How it starts
The opening of the file, as written. The whole thing — 674 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-host portability rules. When invoking
AskUserQuestion:
- The
headerfield MUST be a short noun phrase (≤ 12 characters). Mistral Vibe rejects longer headers withstring_too_long. Pick from:Start,Target,Scope,Audience,Methodology,Feature,Question,Confirm.- The
optionslist MUST have at least 2 items. Vibe rejects empty/single-option calls. For free-text input, always provide ≥ 2 framing options (e.g.Yes, here's the input/Skip) — never callask_user_questionwithoptions: [].
Preamble (run first)
source ~/.nanopm/lib/nanopm.sh 2>/dev/null || \
source .nanopm/lib/nanopm.sh 2>/dev/null || \
{ echo "ERROR: nanopm not installed. Run: curl -fsSL https://raw.githubusercontent.com/nmrtn/nanopm/main/setup | bash"; exit 1; }
nanopm_preamble
_OPP_DIR=".nanopm/wiki/entities/opportunities"
mkdir -p "$_OPP_DIR"
What this skill does
/pm-opportunities maintains your opportunity database — the persistent, ranked set of user
problems and unmet needs that sits between raw discovery (FEEDBACK.md, interviews, data) and
planning (OBJECTIVES, ROADMAP, PRD). It is an LLM-wiki: a folder of markdown the agent owns
and keeps current, not a thing you hand-maintain.
It runs in one of four modes:
bootstrap— no DB yet: writes theSCHEMA.mdconventions, gathers signal (feedback if present + your own assumptions + Nano's hypotheses), and fans out subagents to draft the initial ranked set, marking each opportunity's provenance before you confirm it.add— DB exists: capture one new problem (yours or a Nano pre-fill) as a new/updated opportunity, deduped against what's already there.generate— DB exists: draft up to N new candidate problems (global or for one theme), run them through the dedup agent, and write the survivors asnano-hypothesis. Additive — never overwrites.ingest-candidate(programmatic) — another skill (e.g./pm-add-feedback) hands ONE already confirmed candidate — a problem statement + a verbatim quote with its citation + a raw-source ref — and/pm-opportunitiesruns the SAME canonical process (dedup → match-or-create → reindex → log → manifest) so it stays the single owner of the opportunity DB. Returns a small structured result so the caller can assemble its own summary. Non-interactive by default (the caller already confirmed).
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 · 674 lines · 113 tokens per session scan C edf5302d3075
pm-opportunities is a skill published in the GitHub repository nmrtn/nanopm (48 stars, last pushed 2mo ago), licensed MIT. It adds 113 tokens to every session and 10,430 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…