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 skills add jakkaj/tools --skill didyouknow-v2git clone --depth 1 https://github.com/jakkaj/toolsWrote 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/jakkaj/tools/didyouknow-v2)<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>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 | $0.00039 | $0.02272 |
| Opus 5 | $0.00019 | $0.01136 |
| Sonnet 5 | $0.00008 | $0.00454 |
| Haiku 4.5 | $0.00004 | $0.00227 |
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.
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:**
```
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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.
- 7d ago First seen · 228 lines · 39 tokens per session scan A 7ada4b45d6af
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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