Manifest Generator

Manifest Generator is a skill for Codex from daffy0208/ai-dev-standards. It costs 23 tokens per session (2,240 once invoked), scanned A, original, MIT.

A tool that creates structured capability descriptions for skills, MCP servers, tools, and other components by analysing their descriptions and implementations. These descriptions can record requirements, results, technical areas, relationships, and estimated risk.

In plain words
What is it for?
Use it to create manifests for new or existing resources, regenerate them after updates, compare them for drift, and prepare an orchestration system.
Why use it?
It removes the need to write every capability record by hand. It also helps find differences when a component changes and supports choosing components that can work together.

Skill for Codex

Written for Codex: runs codex exec. Also seen: positional $N argument; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash scripts/skills/manifest-generator.sh \.

Good fit Use it to create manifests for new or existing resources, regenerate them after updates, compare them for drift, and prepare an orchestration system.

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/daffy0208/ai-dev-standards
agentmods
npx agentmods add skills/daffy0208/ai-dev-standards/manifest-generator

Made for: 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 Manifest Generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/manifest-generator/github.svg)](https://agentmods.dev/skills/daffy0208/ai-dev-standards/manifest-generator)
Your own site
<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/manifest-generator"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/manifest-generator/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 Manifest Generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/daffy0208/ai-dev-standards/manifest-generator"><img src="https://agentmods.dev/badge/skills/daffy0208/ai-dev-standards/manifest-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,240 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 $0.00023 $0.02240
Opus 5 $0.00012 $0.01120
Sonnet 5 $0.00005 $0.00448
Haiku 4.5 $0.00002 $0.00224

Measured 10d ago against content hash 6089c0b3887b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

Manifest Generator 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (generate-manifest.sh), 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.

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.

skills/manifest-generator/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manifest Generator

Auto-generate capability manifests from skill/MCP descriptions using Codex

Purpose

Uses OpenAI Codex to analyze existing skills, MCPs, tools, and components to automatically generate their capability manifests. This bootstraps the entire orchestration system by inferring preconditions, effects, domains, and relationships from descriptions and implementations.

When to Use

  • Bootstrapping: Generate manifests for all 59 skills + 50 MCPs at once
  • New resources: Auto-generate manifest when creating new skills/MCPs
  • Updates: Regenerate manifest when skill description changes
  • Validation: Compare generated manifest with existing to detect drift

Key Capabilities

  • Precondition Inference: Analyzes skill description to determine what must exist before use
  • Effect Extraction: Identifies state changes the skill produces
  • Domain Detection: Categorizes skill into technical domains
  • Relationship Discovery: Infers which skills this enables/conflicts with/composes with
  • Risk Assessment: Evaluates cost, latency, and risk level from description

Inputs

inputs:
  skill_path: string # Path to skill directory (e.g., SKILLS/rag-implementer)
  resource_type: string # "skill" | "mcp" | "tool" | "component" | "integration"
  description_file: string # Usually SKILL.md or README.md
  implementation_file: string # Optional: actual code file for validation
  output_path: string # Where to write manifest.yaml (default: same directory)

Process

Step 1: Read Source Materials

# Read skill description
DESCRIPTION=$(cat $skill_path/SKILL.md)

# Read implementation if available
if [ -f "$skill_path/index.js" ]; then
  IMPLEMENTATION=$(head -100 $skill_path/index.js)
fi

# Read existing registry entry
REGISTRY_ENTRY=$(jq ".[] | select(.name==\"$skill_name\")" META/skill-registry.json)

Step 2: Generate Manifest with Codex

codex exec "
Analyze this ${resource_type} and generate a capability manifest.

DESCRIPTION:
${DESCRIPTION}

IMPLEMENTATION (if available):
${IMPLEMENTATION}

REGISTRY ENTRY:
${REGISTRY_ENTRY}

Generate a YAML manifest matching this schema:
$(cat SCHEMAS/capability-manifest.schema.json)

Infer the following:

1. PRECONDITIONS: What files, dependencies, or state must exist?
   Examples:
   - file_exists('package.json')
   - has_dependency('react')
   - env_var_set('OPENAI_API_KEY')
   - not file_exists('.vector-index')

2. EFFECTS: What does this create/modify/delete?
   Examples:
   - creates_vector_index
   - adds_auth_middleware
   - configures_database
   - updates_tests

3. DOMAINS: What technical areas does it touch?
   Examples: rag, auth, api, database, testing, nextjs, react

4. COMPATIBILITY:
   - requires: What must exist first?
   - conflicts_with: What can't coexist?
   - composes_with: What works well together?
   - enables: What does this unlock?

5. RISK ASSESSMENT:
   - cost: free/low/medium/high (API calls, compute)
   - latency: instant/fast/slow (execution time)
   - risk_level: safe/low/medium/high (side effects)

6. SUCCESS SIGNAL: How do we know it worked?
   Examples:
   - 'tests pass'
   - 'file exists: .vector-index'
   - 'HTTP 200 from /api/search'
   - 'can query vector database'

Output ONLY valid YAML. No explanatory text.
"

Read the full file on GitHub · 324 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. 10d ago First seen · 324 lines · 23 tokens per session scan A 6089c0b3887b

Subscribe to this mod's changes

Manifest Generator is a skill published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It adds 23 tokens to every session and 2,240 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 2026-08-30.