didyouknow-v2

didyouknow-v2 is a skill for Claude Code from jakkaj/tools. It costs 39 tokens per session (2,272 once invoked), scanned A, original, MIT.

A clarity skill that reviews a specification, plan, task list, or code and explains five important risks, hidden assumptions, or improvements.

In plain words
What is it for?
It is for reviewing project specifications, plans, tasks, subtasks, or code, either to identify concerns or suggest scoped enhancements.
Why use it?
It helps reveal issues that may be easy to miss after planning or implementing a change.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Good fit It is for reviewing project specifications, plans, tasks, subtasks, or code, either to identify concerns or suggest scoped enhancements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jakkaj/tools/didyouknow-v2
View source ↗ jakkaj/tools
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 jakkaj/tools --skill didyouknow-v2
Clone the repo
git clone --depth 1 https://github.com/jakkaj/tools

Made for: Claude Code.

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 didyouknow-v2

README.md
[![agentmods](https://agentmods.dev/badge/skills/jakkaj/tools/didyouknow-v2.svg)](https://agentmods.dev/skills/jakkaj/tools/didyouknow-v2)
Your own site
<a href="https://agentmods.dev/skills/jakkaj/tools/didyouknow-v2"><img src="https://agentmods.dev/badge/skills/jakkaj/tools/didyouknow-v2.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,272 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 $0.00039 $0.02272
Opus 5 $0.00019 $0.01136
Sonnet 5 $0.00008 $0.00454
Haiku 4.5 $0.00004 $0.00227

Measured 7d ago against content hash 7ada4b45d6af, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

didyouknow-v2 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 7d 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.

skills/SDD/didyouknow-v2/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Please deep think / ultrathink as this is a complex task.

didyouknow

Universal clarity builder - analyze any context (spec, plan, tasks, subtask, code) and surface critical "Did you know?" insights through natural conversation. Supports two modes: default (risks, gotchas, hidden assumptions) and enhance (scoped improvement ideas).

User input:

$ARGUMENTS

Expected usage patterns:
```bash
/didyouknow --spec <path>      # Analyze a feature specification
/didyouknow --plan <path>      # Analyze an implementation plan
/didyouknow --tasks <path>     # Analyze phase tasks
/didyouknow --subtask <path>   # Analyze a subtask
/didyouknow --code <path>      # Analyze code file(s)
/didyouknow                    # Auto-detect most recent context
/didyouknow --enhance          # Enhancement mode (5 ideas, scoped to feature)
/didyouknow --enhance 3        # Enhancement mode with custom count
/didyouknow --enhance --spec <path>  # Enhance mode on a specific spec
```

## Modes

### Default Mode (clarity)
Surface risks, gotchas, hidden assumptions, and non-obvious implications in what already exists. Always 5 insights.

### Enhance Mode (`--enhance [N]`)
Surface scoped improvement ideas — UX polish, missing quality-of-life features, enhancements to the existing feature. Does NOT suggest tangential or out-of-scope ideas. Defaults to 5 ideas; the user may specify a custom count (e.g. `--enhance 3`, `--enhance 10`).

## Purpose

Build shared understanding between human and AI. In **default mode**, surface non-obvious implications, gotchas, and critical insights. In **enhance mode**, surface improvement ideas scoped to the feature being analyzed. This is a **clarity and ideation tool** — run it whenever you need to step back and really understand or improve what's being built.

## Flow

### 1) Context Loading

- Parse flags to determine context type (spec/plan/tasks/subtask/code)
- Detect mode: if `--enhance` is present, activate enhance mode. Parse optional count (default 5).
- If auto-detect mode (no flags): search `docs/plans/` for most recent plan or spec
- Read the primary context document completely
- Load related documents for full picture:
  * If analyzing plan → also read the spec
  * If analyzing tasks → also read the plan and spec
  * If analyzing code → read relevant docs if they exist
- **Domain awareness**: If `docs/domains/registry.md` exists, scan relevant domain.md files for context. If `docs/domains/domain-map.md` exists, read the topology to understand contract relationships and potential issues (circular deps, orphans, god domains). Note which domains the current artifact targets (from spec `## Target Domains` if present). This is background context — domain insights surface naturally alongside other lenses, not as a forced category.

### 2) ULTRA-DEEP THINKING (Most Critical Step)

**Spend significant thinking time here.**

#### Default Mode Lenses

- **User Experience** — what changes for users? What's surprising?
- **System Behavior** — new constraints, assumptions, data flow changes?
- **Technical Constraints** — platform limits, API restrictions, won't-work-if?
- **Integration & Ripple Effects** — what else does this touch? Downstream impact?
- **Hidden Assumptions** — what are we betting on that could fail?
- **Edge Cases & Failure Modes** — unusual conditions, cascading failures?
- **Performance & Scale** — bottlenecks, resource concerns at scale?
- **Security & Privacy** — exposed data, auth gaps, vulnerabilities?
- **Deployment & Operations** — coordination needed, rollback risks?
- **Domain Boundaries** — are concepts in the right domain? Reaching into another domain's internals? Missing contract? Duplicating something in another domain? Wrong dependency direction?
- **Concept Documentation** — are domain concepts discoverable? Missing `§ Concepts` section in domain.md? Stale concepts that no longer match implementation? Concept reuse opportunity across domains? Related contracts scattered across domains that should be unified under one concept?

**Domain insights are not mandatory.** They surface when genuinely relevant. If domains are clean, they may not make the top 5. That's fine.

**When CS scores exist** (plans/tasks), challenge them:
- CS-1/2: What could make this NOT trivial?
- CS-3: How do we prove this works?
- CS-4/5: What's the rollback plan? Need subtask decomposition?

**Select the 5 most impactful insights** — non-obvious, actionable, ordered by impact, spanning different perspectives.

#### Enhance Mode Lenses

- **UX Polish** — what would make this smoother, more intuitive, more delightful?
- **Missing Conveniences** — quality-of-life features users would expect but aren't specified?
- **Robustness** — error messages, fallbacks, graceful degradation that would improve trust?
- **Consistency** — does this align with patterns elsewhere in the codebase/product?
- **Developer Experience** — logging, debugging hooks, configurability that would help future maintainers?
- **Domain Health** — would a contract make this more composable? Reuse opportunity across domains?

**Stay scoped to the feature being analyzed.** Do NOT suggest tangential features or out-of-scope additions. Every idea must directly enhance what's already planned.

**Select the N most valuable ideas** (default 5, or user-specified count) — ordered by value, practical, and scoped to the existing feature.

### 3) CONVERSATIONAL PRESENTATION (One at a Time)

**⚠️ CRITICAL — HARD RULE: Present ONLY ONE insight per message. Output ONE insight, then STOP and WAIT for the human to respond before presenting the next. Do NOT present insight #2 until the human has replied to #1. This is the most important rule in this entire prompt.**

For each insight/idea, present it like this:

**Default mode:**
```
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Read the full file on GitHub · 228 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. 7d ago First seen · 228 lines · 39 tokens per session scan A 7ada4b45d6af

Subscribe to this mod's changes

didyouknow-v2 is a skill published in the GitHub repository jakkaj/tools (5 stars, last pushed 21d ago), licensed MIT. It adds 39 tokens to every session and 2,272 once invoked, about $0.0002 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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