aikc-project-workflow

aikc-project-workflow is a skill for Claude Code, Codex from AHappyAtlas/ai-knowledge-center. It costs 0 tokens per session (971 once invoked), scanned A, original, MIT.

Project-specific instructions for changing the AI Knowledge Center package, including its command-line tool, upgrade templates, manifests, dashboard metadata, checks, and telemetry.

In plain words
What is it for?
Developing or upgrading AI Knowledge Center itself, including CLI behavior, project scaffolding, dashboard data, gates, and telemetry.
Why use it?
They keep changes aligned with the repository's source structure, generated files, documentation, and required project workflow.

Skill for Claude CodeCodex

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

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is node ai-knowledge/scripts/knowledge-check.cjs.

Good fit Developing or upgrading AI Knowledge Center itself, including CLI behavior, project scaffolding, dashboard data, gates, and telemetry.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/AHappyAtlas/ai-knowledge-center
agentmods
npx agentmods add skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow

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 aikc-project-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow/github.svg)](https://agentmods.dev/skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow)
Your own site
<a href="https://agentmods.dev/skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow"><img src="https://agentmods.dev/badge/skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow/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 aikc-project-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow"><img src="https://agentmods.dev/badge/skills/ahappyatlas/ai-knowledge-center/aikc-project-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 971 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00000 $0.00971
Opus 5 $0.00000 $0.00485
Sonnet 5 $0.00000 $0.00194
Haiku 4.5 $0.00000 $0.00097

Measured 9d ago against content hash 38e1c430f7f4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aikc-project-workflow 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 9d 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.

ai-knowledge/skills/aikc-project-workflow/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIKC Project Workflow Skill

Use this skill when changing the AI Knowledge Center package itself: CLI behavior, project upgrade templates, manifest loading, dashboard metadata, gates, telemetry, or this repository's AI workflow knowledge.

Stable Project Facts

  • Package name: ai-knowledge-center.
  • Global CLI names: aikc and ai-knowledge-center.
  • Published CLI entrypoint: dist/cli/aikc.js.
  • Source CLI entrypoint: src/cli/aikc.ts.
  • Project upgrade logic lives in src/cli/project-upgrader.ts.
  • Production dashboard and API are served by Fastify from one port, default 127.0.0.1:4318.
  • Development uses two processes: server on 4318 and Vite UI on 5177.

Change Guidance

  • Prefer editing src/ and rebuilding; do not hand-edit dist/ unless release artifacts are explicitly required.
  • Keep CLI options documented in README.md aligned with src/cli/aikc.ts.
  • Keep scaffold templates in src/cli/project-upgrader.ts aligned with root examples in ai-knowledge/.
  • New-project and upgrade templates must include AIKC-maintained ai-knowledge/core/**, compatibility entrypoints, internal AI workflow scripts under ai-knowledge/scripts/**, and a mandatory final knowledge-capture decision.
  • Keep the ownership boundary explicit: ai-knowledge/core/** is upgraded by AIKC; project-specific reusable knowledge belongs in ai-knowledge/skills/** or project-owned references.
  • Core workflow templates must ask agents to package repeated operations as project scripts, project skills, MCP/server tools, or references, with local host OS and remote target OS considered separately.
  • Core workflow templates must treat AI workflow loops as bounded loops with explicit input, output, validation, budget, stop condition, and human escalation.
  • Core workflow templates must keep AI-facing knowledge compact and maintain human-readable companions under ai-knowledge/human/** only when meaning changes or missing companions are backfilled.
  • Core workflow templates must include token-efficiency guidance for minimal context loading, log summaries, structured output, caches, operations indexes, doctor commands, and compact closeout.
  • Core workflow templates must preserve AIKC project capabilities that are not project-specific: manifest contract, dashboard metadata, gates/commands, MCP, telemetry, Dagger, project discovery, API automation, safe upgrade semantics, and release discipline.
  • Core workflow templates must guide agents to prefer mature open-source packages over hand-rolled implementations when they improve CLI parsing, file discovery, search, schema/API contracts, logging, config paths, watchers, process execution, or MCP/server tooling.
  • Keep the dashboard initialization prompt in src/client/App.tsx aligned with src/cli/project-upgrader.ts, so copied prompts, CLI upgrade, and dashboard auto-init describe the same behavior.
  • Avoid making aikc --version start the server if adding version support; handle informational flags before importing src/server/index.ts.
  • Preserve the documented behavior that aikc upgrade --write creates candidates for conflicts instead of overwriting project-specific files.
  • Existing projects should be updateable: changed local files get *.aikc-upgrade.md candidates and an AI handoff prompt, not blind overwrites.
  • Keep knowledge token checks sparse: trigger them for explicit token/context/routing work, first run state creation, or changes to workflow entrypoints and the compact skill index.
  • For token/cache/MCP evaluation, read ai-knowledge/core/open-source-token-tools.md after this skill. Prefer AIKC's built-in context-pack, repo-map, log-summary, run-bounded, token-budget-check, repo-scoped filesystem MCP, and aikc mcp --project . before adding new tools. Treat Context7 as the approved optional docs lookup; treat semantic code-search MCPs as optional repo-scoped additions only when repo-map is too broad.
  • Package publishing uses the local environment file when needed: load NPM_TOKEN from .env.local into the process environment for npm whoami and npm publish, never print the token, and check NPM_TOKEN_EXPIRES_AT before relying on it.

Read the full file on GitHub · 60 lines

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 · 60 lines · 0 tokens per session scan A 38e1c430f7f4

Subscribe to this mod's changes

aikc-project-workflow is a skill published in the GitHub repository AHappyAtlas/ai-knowledge-center (0 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 971 tokens. 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.

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