web-research-kb-refresh

web-research-kb-refresh is a skill for Claude Code, Codex from d-padmanabhan/agent-engineering-handbook. It costs 120 tokens per session (3,396 once invoked), scanned A, original, MIT.

A workflow for refreshing a project knowledge base with researched facts from the web, while tracking sources and safely replacing stored data.

In plain words
What is it for?
Use it to update vendor facts, compliance information, market data, security advisories, or library and API references in a stored knowledge base.
Why use it?
It reduces stale or unsupported information and makes large research updates easier to verify and roll back if they fail.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to update vendor facts, compliance information, market data, security advisories, or library and API references in a stored knowledge base.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh
Install

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.

Any agent
npx skills add d-padmanabhan/agent-engineering-handbook --skill web-research-kb-refresh
Clone the repo
git clone --depth 1 https://github.com/d-padmanabhan/agent-engineering-handbook

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for web-research-kb-refresh

README.md
[![agentmods](https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh/github.svg)](https://agentmods.dev/skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh)
Your own site
<a href="https://agentmods.dev/skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh"><img src="https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh/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.

agentmods 80×15 button for web-research-kb-refresh

Your own site · 80×15
<a href="https://agentmods.dev/skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh"><img src="https://agentmods.dev/badge/skills/d-padmanabhan/agent-engineering-handbook/web-research-kb-refresh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,396 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 283
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00120 $0.03396
Opus 5 $0.00060 $0.01698
Sonnet 5 $0.00024 $0.00679
Haiku 4.5 $0.00012 $0.00340

Measured 9d ago against content hash fae53e195a8f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

web-research-kb-refresh scanned grade A with 1 finding 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (references/atomic-swap.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `120-utilities.mdc` - the underlying tools (lynx, curl, jq, ripgrep)
skills/web-research-kb-refresh/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web-Research KB Refresh

Operational pattern for refreshing a knowledge base from the web with predictable cost, time, and provenance. Generalizes the consulting-toolkit /facts-update pattern so it applies to any KB-backed analysis (vendor facts, compliance posture, market data, security advisories, library/API references, etc.).

Companion rules:

  • 015-context-engineering.mdc - prompt packing, retrieval, compaction
  • 120-utilities.mdc - the underlying tools (lynx, curl, jq, ripgrep)
  • 316-zero-trust.mdc - audit and observability principles

When to invoke

Use when the user asks to:

  • "Refresh the KB" / "update the facts" / "regenerate from the web"
  • "Pull current pricing / docs / advisories" for a list of items
  • "Re-research vendor X across the catalog"
  • Build a new long-running command that calls web tools at scale

Do not use for:

  • One-off queries (just call WebSearch / WebFetch directly)
  • Real-time streams (this pattern is batch-style)
  • Anything where the answers are not stored in a structured KB

The Five Golden Rules

  1. Hard cap per unit of work - state it up front; refuse to exceed it.
  2. Cross-reference threshold - claims need >=2 independent sources or 1 vendor-primary + 1 analyst.
  3. Up-front warning + explicit confirmation before any potentially-long operation.
  4. Atomic write + rollback - archive the old file before writing; verify the new file imports / parses; restore on failure.
  5. REVIEW placeholders, never fabrication - if coverage is thin, mark the gap explicitly with reason; never silently invent.

The pattern, end to end

flowchart TD
    start[User invokes refresh] --> warn["Up-front warning + AskQuestion confirm"]
    warn -->|"No"| stop1[Stop]
    warn -->|"Yes"| scope["AskQuestion: scope (all / gaps / specific)"]
    scope --> enum[Enumerate units of work]
    enum --> dump[Dump current KB to JSON]
    dump --> loop["For each unit (per item)"]
    loop --> initial["Initial pass: 2-3 multi-intent searches"]
    initial --> deep["Deep reads: 0-3 fetches on highest-signal hits"]
    deep --> gaps["Targeted gap-fills: 0-3 focused searches"]
    gaps --> cap{"<= 9 calls?"}
    cap -->|"No, mark REVIEW"| synth
    cap -->|"Yes"| synth[Synthesize per-column answer]
    synth --> evid["Record evidence tuple per claim<br/>(source, vendor-docs, analyst, market, etc.)"]
    evid --> nextItem{More items?}
    nextItem -->|"Yes"| loop
    nextItem -->|"No"| assemble[Assemble entries JSON]
    assemble --> apply[Apply: archive-then-write-then-verify]
    apply --> ok{Import OK?}
    ok -->|"No"| rollback[Restore archived file]
    ok -->|"Yes"| summarize[Summarize per-item + REVIEW gaps]

Read the full file on GitHub · 316 lines

Files

What ships with it

2 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.

Changes

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.

  1. 9d ago First seen · 316 lines · 120 tokens per session scan A fae53e195a8f

Subscribe to this mod's changes

web-research-kb-refresh is a skill published in the GitHub repository d-padmanabhan/agent-engineering-handbook (17 stars, last pushed today), licensed MIT. It adds 120 tokens to every session and 3,396 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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