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 deciqAI/knowledge-skills --skill circle-of-competencegit clone --depth 1 https://github.com/deciqAI/knowledge-skillsWrote 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/deciqai/knowledge-skills/circle-of-competence)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/circle-of-competence"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/circle-of-competence/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/deciqai/knowledge-skills/circle-of-competence"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/circle-of-competence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00105 | $0.02076 |
| Opus 5 | $0.00053 | $0.01038 |
| Sonnet 5 | $0.00021 | $0.00415 |
| Haiku 4.5 | $0.00011 | $0.00208 |
Grade A, and why
circle-of-competence 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 12d 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Circle of Competence
Overview
Every decision-maker has a domain where judgments are reliable (inside the circle) and one where they are not (outside). The discipline: identify the boundary, act decisively inside it, refuse to act outside it without explicit acknowledgment of elevated uncertainty.
Canonical source: Buffett (1996) — "The size of that circle is not very important; knowing its boundaries, however, is vital."
Composes with dunning-kruger (cognitive mechanism the circle counters), metacognition (self-monitoring the circle relies on), first-principles (only reliable inside the circle), opportunity-cost (refusal has a real cost — measure it), probabilistic-thinking (calibration training establishes the boundary).
When to Use
- Evaluating an investment, acquisition, or partnership in an unfamiliar domain
- Deciding whether to enter a new market or product area
- A board member or investor is pushing you toward a domain outside your background
- A founder is asked to take on a function (legal, finance, sales) without the relevant track record
- Hiring senior roles in unfamiliar functions; allocating significant capital to a new business line
- Investing in, or building on, AI you don't truly understand — "should I fund/build this AI product," "is this AI hype or real," AI adoption pushed by FOMO
Not when: decision is small, reversible, and an explicit learning bet; refusing everything outside the current circle is genuinely worse than acting carefully; domain is genuinely frontier for everyone.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a specific decision → run The Process directly.
- Coach mode: user is unfamiliar or has no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
What ships with it
4 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.
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.
- 12d ago First seen · 125 lines · 105 tokens per session scan A 0be4b53c7997
circle-of-competence is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 105 tokens to every session and 2,076 once invoked, about $0.0005 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.
Other skills, from other repositories
edge-tts
Text-to-speech conversion using uvx edge-tts for generating audio from text. Use when (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS…
mcp-deepwiki
Skills for accessing and searching docs in DeepWiki/GitHub’s public code repositories can help users understand open-source project source codes, and users can also ask questions directly about the code docs.
tianqi
A weather-lookup workflow for Chinese locations, covering forecasts, hourly conditions, weather warnings, and daily-life indexes.
cto-advisor
Records technical decisions that serve a business outcome: constraints, architecture options, build-or-buy tradeoffs, and a justified skill selection. Use when the CEO asks "which architecture fits", "should we build or buy", "which skill should this department use", or "review our technical plan".
compliance-check
Compliance pre-flight for a feature, campaign, or initiative — maps the data and activity involved, checks applicable regimes (privacy/GDPR-style, consumer protection, marketing rules, sector-specific), lists required approvals and notices, builds a gap list with remediation owners, and ends in a go/no-go…
plan-payroll
Plans payroll cash: true loaded cost per hire (gross plus employer taxes, benefits, tools), a payroll calendar with cutoffs and cash-out dates, a scenario table for new hire vs raise vs contractor-vs-employee, and a payroll-to-revenue check against rough industry bands. Use when the user asks "can I afford to hire"…