find-your-unknowns

find-your-unknowns is a skill for Claude Code from axel-pm/watch-n-learn. It costs 171 tokens per session (1,251 once invoked), scanned A, original, MIT.

A workflow for finding decisions and missing details that were left out of a coding request. It compares the request with the actual codebase, called the repository, before a large or unclear task begins.

In plain words
What is it for?
Clarifying requirements, examining reference code or mockups, recording implementation notes, and preparing a coding task for an agent.
Why use it?
It reduces the chance that an agent makes assumptions, chooses the wrong behavior, or drifts from what the user intended. It is meant for ambiguous, architecture-changing, or unfamiliar work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the watch-and-learn plugin — 2 skills shipped together

Good fit Clarifying requirements, examining reference code or mockups, recording implementation notes, and preparing a coding task for an agent.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/axel-pm/watch-n-learn/find-your-unknowns
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.

Any agent
npx skills add axel-pm/watch-n-learn --skill find-your-unknowns
Clone the repo
git clone --depth 1 https://github.com/axel-pm/watch-n-learn

Made for: Claude Code.

Or install watch-and-learn, the plugin that ships this one along with the rest of its 2 skills.

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 find-your-unknowns

README.md
[![agentmods](https://agentmods.dev/badge/skills/axel-pm/watch-n-learn/find-your-unknowns/github.svg)](https://agentmods.dev/skills/axel-pm/watch-n-learn/find-your-unknowns)
Your own site
<a href="https://agentmods.dev/skills/axel-pm/watch-n-learn/find-your-unknowns"><img src="https://agentmods.dev/badge/skills/axel-pm/watch-n-learn/find-your-unknowns/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.

agentmods 80×15 button for find-your-unknowns

Your own site · 80×15
<a href="https://agentmods.dev/skills/axel-pm/watch-n-learn/find-your-unknowns"><img src="https://agentmods.dev/badge/skills/axel-pm/watch-n-learn/find-your-unknowns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 171 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,251 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00171 $0.01251
Opus 5 $0.00086 $0.00626
Sonnet 5 $0.00034 $0.00250
Haiku 4.5 $0.00017 $0.00125

Measured 11d ago against content hash 565511309a3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

find-your-unknowns 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.

The scan reads SKILL.md. This mod also ships 1 executable file (hooks/plan-mode-unknowns-nudge.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

examples/find-your-unknowns/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

find-your-unknowns

A more capable agent traverses more of the codebase, so it hits more decisions you never wrote down — and drifts. The fix is to find those decisions before the big run. Your prompt is a map; the codebase is the territory. This skill surfaces everywhere the territory holds something your map doesn't.

When to use vs. skip

  • Use before a large, ambiguous, or architecture-shaping task, or when you (or the user) are new to this codebase or domain.
  • Skip for a small, fully-specified change where the territory is already known — running the full battery would be ceremony.

Inputs

  • A task/goal (what the user wants built or changed).
  • A target repo or subsystem you can read.
  • Optionally: reference code/mockups, and context about the user's taste, stage, and constraints.

Workflow

Don't blindly run all six. Pick by the kind of unknown in play (see table), run those, then consolidate. Note the When column: only patterns 1–4 run during this scoping pass. Pattern 5 is an instruction you produce now but inject into the later build run; pattern 6 runs after the build. Each pattern's full prompt template is in references/prompt-patterns.md.

Kind of unknown Pattern When Skip if
"I don't even know what I don't know here" 1. Blind-spot pass scoping rarely — this is the anchor
Aesthetic / "know it when I see it" 2. Brainstorm & prototype scoping the surface isn't primarily visual
Under-specified requirements 3. Interview me scoping requirements are already crisp
An example is easier than a spec 4. Reference — give it another map scoping you have no reference to point at
Deviations that only appear mid-build 5. Implementation notes build-time never — it's a cheap always-on trail
Do I actually understand the result? 6. Quiz me post-build you already own the result cold

The six patterns (in the order you'd typically reach for them)

Read the full file on GitHub · 87 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 87 lines · 171 tokens per session scan A 565511309a3d

Subscribe to this mod's changes

find-your-unknowns is a skill published in the GitHub repository axel-pm/watch-n-learn (9 stars, last pushed 1mo ago), licensed MIT. It adds 171 tokens to every session and 1,251 once invoked, about $0.0009 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.

Related

Other skills, from other repositories

claude-code-eyes

Look at real hardware, screens, panels, and wiring on a desk or workbench through a camera, so Claude can SEE physical output that no unit test, log, or API can. Use whenever the user says "are you seeing this?", "olha isso", "look at this", "watch this", "can you see...", "check the camera", "look at the screen" /…

fcavalcantirj/claude-code-eyes · 214 tokens

content-strategy

Develop a content strategy covering editorial positioning, content pillars, formats, calendar, governance, and topical authority planning. Use this skill whenever the user wants to plan a content program, define content pillars, build an editorial calendar, structure topic clusters, set up content governance, or align…

rampstackco/claude-skills · 120 tokens

stakeholder-communication

Communicate effectively with stakeholders across functions and seniority levels. Use this skill when writing status updates, preparing executive reviews, sharing technical decisions with non-technical audiences, managing up, communicating bad news, or designing the communication cadence for a project. Triggers on…

rampstackco/claude-skills · 103 tokens

analytics-strategy

Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy. Use this skill whenever the user wants to plan analytics, design dashboards, build event taxonomies, define KPIs, set up tracking, or audit existing measurement.…

rampstackco/claude-skills · 126 tokens

incident-response

Manage active production incidents through detection, triage, mitigation, communication, and resolution with structured roles and decision-making. Use this skill whenever the user has an active incident, a production issue, a service outage, a security incident, or needs to plan incident response procedures. Triggers…

rampstackco/claude-skills · 117 tokens

agb-begriff-vorformuliert-305

Für AGB Begriff Vorformuliert 305: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: agb-begriff-vorformuliert-305.

Klotzkette/claude-fuer-deutsches-recht · 68 tokens