pm-add-feedback

pm-add-feedback is a skill for Claude Code, Codex from nmrtn/nanopm. It costs 162 tokens per session (7,386 once invoked), scanned C, original, MIT.

An intake process for raw user feedback such as interview transcripts, messages, support tickets, and feedback emails. It archives the original material and extracts problems and exact user quotes.

In plain words
What is it for?
Collecting feedback from files, pasted text, or connected sources, filtering it for real user problems, and feeding the results into a product-learning process.
Why use it?
It keeps the original evidence available and turns scattered feedback into structured product-learning input.

Skill for Claude CodeCodex

Part of the nanopm plugin — 26 skills, 1 hook shipped together

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 skills/nmrtn/nanopm/pm-add-feedback
Any agent
npx skills add nmrtn/nanopm --skill pm-add-feedback
Clone the repo
git clone --depth 1 https://github.com/nmrtn/nanopm

Made for: Claude Code, Codex.

Or install nanopm, the plugin that ships this one along with the rest of its 26 skills, 1 hook.

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 pm-add-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/nmrtn/nanopm/pm-add-feedback.svg)](https://agentmods.dev/skills/nmrtn/nanopm/pm-add-feedback)
Your own site
<a href="https://agentmods.dev/skills/nmrtn/nanopm/pm-add-feedback"><img src="https://agentmods.dev/badge/skills/nmrtn/nanopm/pm-add-feedback.svg" alt="Measured on agentmods" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,386 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00162 $0.07386
Opus 5 $0.00081 $0.03693
Sonnet 5 $0.00032 $0.01477
Haiku 4.5 $0.00016 $0.00739

Measured 4d ago against content hash a6502e8b7a2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

pm-add-feedback 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 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.

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; }
pm-add-feedback/SKILL.md · 473 lines

How it starts

The opening of the file, as written. The whole thing — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Multi-host portability rules. When invoking AskUserQuestion:

  1. The header field MUST be a short noun phrase (≤ 12 characters). Mistral Vibe rejects longer headers with string_too_long. Pick from: Start, Target, Scope, Audience, Methodology, Feature, Question, Confirm, Intake.
  2. The options list 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 call ask_user_question with options: [].

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"
_BIN="$HOME/.nanopm/bin"

What this skill does

/pm-add-feedback is the single ingestion door for raw user signal. Whatever the form — an interview transcript, a pasted Slack DM, a support ticket, a Gong export, a feedback email — it comes in here, and every run ends the same way: the source is archived verbatim and the opportunity DB is grounded in fresh, verifiable verbatims, with the source cross-linked to every opportunity it touched. This is the learning loop the PRD (.nanopm/wiki/docs/prds/feedback-ingestion-and-learning-loop.md) calls non-negotiable.

The loop, every time:

  • INTAKE — resolve a file path, --paste text, or a connector source to raw content.
  • ARCHIVE (Wave-0 API)nanopm_archive_raw <type> <source> drops the bytes under raw/<type>/<id>.<ext> keyed by a content hash (idempotent), before any extraction. Everything below cites back to that file.
  • EXTRACT (Mom-Test discovery filter) — pull problems / past behaviors with their verbatim quotes; demote feature-requests and speculation. Each kept claim carries a citation of the exact form "<verbatim>" — <source>, <date> that resolves to the archived raw file.
  • PASS 1 — ground existing opportunities (default, highest-value path) — for each problem, judge it against the existing DB; a confident match is a candidate to ground (append verbatim, propose a provenance upgrade nano-hypothesis → evidence-backed). This is a judgement — the write itself is delegated (see DELEGATE).
  • PASS 2 — surface new opportunities (strategy-aware) — for unmatched signal, judge whether it deserves a NEW opportunity grounded in vision / strategy / objectives — only when the signal is both unmatched AND strategy-coherent. Again a judgement; the write is delegated.
  • CONFIRM — ONE batched confirmation (accept all / edit / reject) before any write; uncertain matches carry ⚠ low-confidence. Headless (no TTY / viewer) runs fall back to write-then-review (delegate with ⚠ low-confidence, no blocking prompt).
  • DELEGATE/pm-add-feedback does NOT write opportunity files itself. For each confirmed candidate it hands the problem + verbatim/citation + raw-source ref + suggested provenance to /pm-opportunities --ingest-candidate (Change 1's "ingest confirmed candidate" entry), which is the single owner of the opportunity DB. That entry runs the full canonical process — dedup-with- confidence, match-or-create, related_to, SCHEMA conformance, reindex, the entity LOG line, AND the bidirectional nanopm_raw_manifest source→opportunity link — and returns a per-candidate result.
  • SUMMARY — emit a machine-readable run-summary (archived raw path, opportunities created/updated, provenance transitions, themes) — assembled from the per-candidate results /pm-opportunities returned — AND persist it via nanopm_context_append — the linchpin the viewer digest parses.

Read the full file on GitHub · 473 lines

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 · 473 lines · 162 tokens per session scan C a6502e8b7a2e

Subscribe to this mod's changes

pm-add-feedback is a skill published in the GitHub repository nmrtn/nanopm (48 stars, last pushed 1mo ago), licensed MIT. It adds 162 tokens to every session and 7,386 once invoked, about $0.0008 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.

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