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 TechNickAI/ai-coding-config --skill limitlessgit clone --depth 1 https://github.com/TechNickAI/ai-coding-configWrote 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/technickai/ai-coding-config/limitless)<a href="https://agentmods.dev/skills/technickai/ai-coding-config/limitless"><img src="https://agentmods.dev/badge/skills/technickai/ai-coding-config/limitless/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/technickai/ai-coding-config/limitless"><img src="https://agentmods.dev/badge/skills/technickai/ai-coding-config/limitless.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 | $0.00034 | $0.00626 |
| Opus 5.5 | $0.00014 | $0.00250 |
| Sonnet 5.5 | $0.00007 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00063 |
Grade A, and why
limitless 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 25d 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.
What it actually says
Clear triggers:
- "What did I talk about with [person]?"
- "What happened in my meeting yesterday?"
- "Find when I mentioned [topic]"
- "What was that restaurant recommendation?"
Optional: Set LIMITLESS_TIMEZONE (defaults to America/Chicago).
Today's conversations
limitless today
Specific date
limitless date 2026-01-28
Semantic search
limitless search "meeting with john" limitless search "restaurant recommendation"
Raw API with custom params
limitless raw "limit=5&isStarred=true"
</commands>
<response-format>
Lifelogs include:
- **title** - AI-generated summary
- **markdown** - Full transcript with timestamps
- **startTime/endTime** - When recorded
- **contents** - Structured segments with speaker attribution
Speaker names show as "Unknown" unless voice profiles are trained in the Limitless app.
</response-format>
<api-notes>
- Rate limit: 180 requests/minute
- Requires Limitless Pendant hardware
- Developer portal: [limitless.ai/developers](https://www.limitless.ai/developers)
- API examples: [github.com/limitless-ai-inc/limitless-api-examples](https://github.com/limitless-ai-inc/limitless-api-examples)
</api-notes>
<llm-api-reference>
If you need to look up API details beyond this skill's commands, use Context7:
resolve-library-id: limitless → /websites/help_limitless_ai_en query-docs: /websites/help_limitless_ai_en with "lifelogs API" query
Or fetch current docs directly from https://www.limitless.ai/developers
</llm-api-reference>
What ships with it
1 file 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.
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.
- 25d ago First seen · 84 lines · 34 tokens per session scan A ac1b3a650569
limitless is a skill published in the GitHub repository TechNickAI/ai-coding-config (24 stars, last pushed 25d ago), licensed MIT. It adds 34 tokens to every session and 626 once invoked, about $0.0001 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 2026-09-22.
Other skills, from other repositories
scout
Research the web for solutions, competitors, alternatives, or prior art for a decision facing this project — then store the findings in project memory so they survive the session. Use when choosing a library or approach, comparing tools, checking what others do, or evaluating whether to build vs adopt.
recall
Answer "why" and "when" questions about a project's decisions — the intent behind a past choice, when it was made, what was tried before and rejected. Use when asked why something was decided, what the rationale was, or before reversing or redoing earlier work. For why the code mechanically behaves a certain way use…
wiki-lint
Audit wiki health: broken links, orphans, contradictions, stale content, lifecycle and tag issues. Use for maintenance or health checks. Default is report-only; use wiki-dedup for page-identity merges.
wiki-status
Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.
wiki-dashboard
Create dynamic, queryable Obsidian dashboard views using Bases or Dataview. Use for auto-updating tables, indexes, or structured views of vault content; not for ordinary question answering.
hermes-history-ingest
Ingest Hermes agent history into Obsidian as distilled knowledge. Use for importing or mining /.hermes sessions, memories, or logs; use wiki-agent for targeted topic-only cross-agent recall.