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 davekilleen/Dex --skill save-insightgit clone --depth 1 https://github.com/davekilleen/DexWrote 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/davekilleen/dex/save-insight)<a href="https://agentmods.dev/skills/davekilleen/dex/save-insight"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/save-insight/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.
<a href="https://agentmods.dev/skills/davekilleen/dex/save-insight"><img src="https://agentmods.dev/badge/skills/davekilleen/dex/save-insight.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00063 | $0.00688 |
| Opus 5.5 | $0.00025 | $0.00275 |
| Sonnet 5.5 | $0.00013 | $0.00138 |
| Haiku 4.5 | $0.00006 | $0.00069 |
Grade A, and why
save-insight 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 29d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capture what you learned from completing work. This is the "compound" step—making future similar work easier.
Arguments
$WORK_COMPLETED: What did you just complete? (project milestone, tricky problem, meeting, workflow improvement, etc.)
Process
1. Reflection Questions
Ask the user (or extract from recent work context):
-
What was the situation?
- Original goal or challenge
- Why it was harder than expected (if applicable)
-
What approach worked?
- Strategy or tactic used
- Key decisions made
-
What would you do differently?
- Gotchas encountered
- Better approaches discovered late
-
What's reusable?
- Patterns that apply elsewhere
- Mental models that help
2. Create or Update Learning Note
Store in: 06-Resources/Learnings/[Category]_Learnings.md
Categories:
Working_Preferences- How you like to work, communication style, tool preferencesMistake_Patterns- Common errors to avoid, with triggers and corrections
Create new category files as needed for domain-specific learnings.
3. Learning Entry Format
Append to the appropriate file:
---
## [Short Title] — [Date]
**Context:** [1 sentence on what you were doing]
**Challenge:** [What was tricky or non-obvious]
**What Worked:**
[The approach that succeeded]
**Key Insight:**
> [The memorable takeaway—something you'd tell past-you]
**See Also:** [Related notes if any]
4. Cross-Link (Optional)
If the learning relates to:
- A person → Add to their person page
- A project → Add link in project's note
- A recurring workflow → Update relevant template
Output
- Ask reflection questions (or extract from context)
- Create/update the appropriate learning file
- Suggest any cross-links
- Confirm saved
Philosophy
"The palest ink is better than the best memory." — Chinese proverb
This isn't documentation for others—it's a gift to future-you. Be specific. Include the gotcha. Make it searchable.
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.
- 29d ago Changed a7fed7400c35
- 1mo ago First seen · 101 lines · 63 tokens per session scan A e42319d1ecde
save-insight is a skill published in the GitHub repository davekilleen/Dex (508 stars, last pushed 2d ago), licensed MIT. It adds 63 tokens to every session and 688 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
stride-analysis-patterns
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
blind-spot-pass
Use before starting work in a domain you don't know well, to surface the "unknown unknowns" — the things you don't even know to ask about — and learn just enough to prompt and decide well. Implements the "blind spot pass" pattern from Anthropic's Fable "finding your unknowns" field guide. Triggers when you say "I'm…
onboarding
Guides a first-time omo user through setup and the core workflow. Use when a new user asks to get started with omo.
self-assessment
Interactive skill assessment with personalized learning path generation.
talk-stage5-script
Produces a complete 5-act pitch with speaker notes, a slide-by-slide specification, and a ready-to-paste Kimi prompt for AI slide generation. Requires validated angle and title from Stage 4. Use when you have a confirmed talk angle and need the full script, slide spec, and AI-generated presentation prompt.
talk-stage6-revision
Produces revision sheets with quick navigation by act, a master concept-to-URL table, Q&A cheat-sheet with 6-10 anticipated questions, glossary, and external resources list. Use when preparing for a talk with Q&A, creating shareable reference material for attendees, or building a safety-net glossary for live delivery.