Agent skill · Audited from source

Update Knowledge Base

skill · huytieu/COG-second-brainMIT licenceAudited 14 Oct 2026 · source 6ea1a6ff2160

★ 1,281pushed 11 days ago
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 6ea1a6f
1,281repo stars · whole huytieu/COG-second-brain

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 6ea1a6ff2160 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Maintain and update product knowledge base from releases, features, and project changes with optional wiki sync

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Cite this page

ModelsAtlas. “Update Knowledge Base (huytieu/COG-second-brain)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/huytieu/update-knowledge-base

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha 6ea1a6ff2160 · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherhuytieu GitHub userOwner of the repository this skill is read from
  • Source folderhuytieu/COG-second-brain/.claude/skills/update-knowledge-baseThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict6ea1a6ff2160A new audit runs when the source changes
  • Repository statusNot archivedLast push 11 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Maintain and update product knowledge base from releases, features, and project changes with optional wiki sync

---
name: update-knowledge-base
description: Maintain and update product knowledge base from releases, features, and project changes with optional wiki sync
roles: [product-manager, engineering-lead, founder]
integrations: [github, linear, jira, confluence, notion]
---

# COG Update Knowledge Base Skill

## When to Invoke
- After a release — update product knowledge with new features and changes
- User says "update knowledge base", "update KB", "sync knowledge", "update product docs"
- Periodic maintenance — ensure knowledge base reflects current product state
- After major feature launches, architecture changes, or deprecations

## Agent Mode Awareness

**Check `agent_mode` in `00-inbox/MY-PROFILE.md` frontmatter:**
- If `agent_mode: team` — use parallel agents to scan multiple sources and update multiple knowledge files simultaneously
- If `agent_mode: solo` — process updates sequentially, one knowledge file at a time

## Command: `/update-knowledge-base`

## Pre-Flight Check

1. **Read `00-inbox/MY-INTEGRATIONS.md`** for active data sources and publishing targets
2. **Read `00-inbox/MY-PROFILE.md`** for active projects
3. **Get current timestamp:** Run `date '+%Y-%m-%d %H:%M'` using Bash
4. **Scan existing knowledge base:** Glob `05-knowledge/**/*.md` to understand current state

---

## Execution Strategy

### Phase 1: Determine Update Scope

Ask the user (or infer from context):

```
What triggered this knowledge base update?

a) New release shipped (I'll pull changes from release notes and tracker)
b) Feature launched or updated (I'll document the feature)
c) Architecture or technical change (I'll update technical knowledge)
d) Periodic review (I'll scan for anything that's changed since last update)
e) Custom — describe what needs updating
```

### Phase 2: Gather Update Data

#### Team Mode (parallel agents)

Launch data-gathering agents using the Task tool with `run_in_background: true`:

**Agent: "release-scanner"** (for release-triggered updates)
```
Scan recent releases and release notes for knowledge base updates.

1. Check vault for recent release notes:
   Glob: 04-projects/*/release-notes/*.md
   Read the most recent release notes for each active project

2. If GitHub is active:
   gh release list --repo [CUSTOMIZE: your-org/your-repo] --limit 5 --json tagName,name,body,publishedAt
   Get the latest release details

3. If Linear is active:
   Use ToolSearch to load Linear tools
   Check recently completed cycles and milestones for shipped features

Extract from each source:
- New features added (name, description, user impact)
- Features modified (what changed)
- Features deprecated or removed
- Technical changes (architecture, API, infrastructure)
- Bug fixes that affect documented behavior

Return: structured list of knowledge updates needed
```

**Agent: "existing-kb-auditor"**
```
Audit the current knowledge base for staleness and gaps.

1. Read all files in 05-knowledge/:
   Glob: 05-knowledge/**/*.md

2. For each file, extract:
   - Last updated date (from frontmatter or file modification)
   - Topics covered
   - Products/features documented
   - Any [TODO] or [OUTDATED] markers

3. Cross-reference with active projects from MY-PROFILE.md:
   - Are all active projects represented in the KB?
   - Are there KB entries for discontinued/inactive projects?

4. Check for:
   - Files not updated in >90 days (potentially stale)
   - Topics mentioned in recent release notes but missing from KB
   - Contradictions between KB entries and recent changes

Return: staleness report, gap analysis, and recommended updates
```

**Agent: "tracker-feature-collector"** (for feature-triggered updates)
```
Collect current feature/product state from project trackers.

If Linear is active:
1. Use ToolSearch to load Linear tools
2. List all projects and their current status: mcp__claude_ai_Linear_2__list_projects
3. List all initiatives: mcp__claude_ai_Linear_2__list_initiatives
4. For key initiatives, get details: mcp__claude_ai_Linear_2__get_initiative

If GitHub is active:
1. Check repo README and docs for current feature descriptions
2. Review recent PRs that touch documentation:
   gh pr list --repo [CUSTOMIZE: your-org/your-repo] --state merged --search "label:docs merged:>=[30_DAYS_AGO]" --json number,title,body --limit 20

Return: current product/feature state for knowledge base comparison
```

#### Solo Mode
Run the most relevant agent sequentially based on the update trigger.

### Phase 3: Identify Knowledge Updates

Compare gathered data against existing knowledge base to determine:

1. **New entries needed** — features, products, or topics not yet documented
2. **Updates needed** — existing entries that need modification
3. **Deprecation/removal** — entries for features that no longer exist
4. **Gap filling** — missing context, examples, or cross-references

Present the update plan to the user:

```
Knowledge Base Update Plan:

NEW entries to create:
1. [Topic] — [reason: new feature in v[X]]
2. [Topic] — [reason: gap identified]

UPDATES to existing entries:
1. 05-knowledge/[file].md — [what needs changing]
2. 05-knowledge/[file].md — [what needs changing]

DEPRECATION candidates:
1. 05-knowledge/[file].md — [reason: feature removed in v[X]]

STALE entries (>90 days, may need review):
1. 05-knowledge/[file].md — last updated [date]

Proceed with these updates? (yes / modify plan / skip specific items)
```

**Wait for user approval before making changes.**

### Phase 4: Execute Updates

#### 4.1 Create New Knowledge Entries

For each new entry, use this template:

```markdown
---
type: knowledge
domain: [product/technical/process/architecture]
project: [project-name]
topic: [topic name]
created: [YYYY-MM-DD HH:MM]
last_updated: [YYYY-MM-DD]
source: [release-notes/feature-launch/manual/periodic-review]
version: "1.0"
tags: ["#knowledge", "#[project]", "#[topic-area]"]
related:
  - [path to related KB entry]
  - [path to related project file]
---

# [Topic Title]

## Overview
[Clea

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 6ea1a6f

Download folder ↗
git clone https://github.com/huytieu/COG-second-brain
git -C COG-second-brain checkout 6ea1a6ff2160

The author documents no install command, so this uses the repository directly. Our verdict covers commit 6ea1a6ff2160 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 6ea1a6ff2160

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about Update Knowledge Base

What does the Update Knowledge Base skill do?
Self-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.
Is Update Knowledge Base safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Update Knowledge Base access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (6ea1a6ff2160), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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