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 hainamchung/agent-assistant --skill confidence-researchgit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/hainamchung/agent-assistant/confidence-research)<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/confidence-research"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/confidence-research/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/hainamchung/agent-assistant/confidence-research"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/confidence-research.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 | $0.00028 | $0.00894 |
| Opus 5 | $0.00014 | $0.00447 |
| Sonnet 5 | $0.00006 | $0.00179 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
confidence-research 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 8d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confidence-Weighted Research
Research outputs with explicit confidence levels and source hierarchy. Halts hallucination propagation by tagging unverified claims.
Core principle: Every claim tagged with confidence level and source. Investigation, not confirmation.
Source Hierarchy
| Priority | Source | Confidence | Examples |
|---|---|---|---|
| 1 | Context7 | HIGH | Official library docs, version-specific |
| 2 | Official Docs | HIGH | Documentation, API references |
| 3 | WebSearch (verified) | MEDIUM | Community patterns, verified claims |
| 4 | WebSearch (unverified) | LOW | Single sources, training data only |
| 5 | Inference | LOW | LLM-generated without sources |
Research Output Format
# Research: [Topic]
## Executive Summary
[2-3 sentence overview]
## Findings
### Finding 1: [Title]
**Claim:** [What was found]
**Confidence:** HIGH | MEDIUM | LOW
**Source:** context7 | official-docs | websearch | inference
**Verified:** YES | NO | PARTIAL
**Evidence:**
- [Source 1 with URL]
- [Source 2 with URL]
### Finding 2: [Title]
...
Verification Protocol
For each finding:
- Is this from Context7 or official docs? → HIGH confidence
- Is this from verified WebSearch? → MEDIUM confidence
- Is this from unverified source? → LOW confidence, flag
- Multiple sources agree? → Increase confidence one level
Anti-Pattern: Confirmation Bias
Bad research: Start with hypothesis, find supporting evidence
Good research: Gather evidence, form conclusions from evidence
Don't find articles supporting your initial guess — find what the ecosystem actually uses and let evidence drive recommendations.
Confidence Levels
| Level | Meaning | When to Use |
|---|---|---|
| HIGH | Verified by authoritative source | State as fact |
| MEDIUM | Verified by community, unverified by authority | State with attribution |
| LOW | Single source or inference only | Flag as needing validation |
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.
- 8d ago First seen · 127 lines · 28 tokens per session scan A 08790a6dcde1
confidence-research is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 894 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…