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 aj-geddes/useful-ai-prompts --skill dependency-trackinggit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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/aj-geddes/useful-ai-prompts/dependency-tracking)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/dependency-tracking"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/dependency-tracking/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/aj-geddes/useful-ai-prompts/dependency-tracking"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/dependency-tracking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00033 | $0.00623 |
| Opus 5.5 | $0.00013 | $0.00249 |
| Sonnet 5.5 | $0.00007 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
dependency-tracking 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 2mo 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependency Tracking
Table of Contents
Overview
Dependency tracking ensures visibility of task relationships, identifies blocking issues early, and enables better resource planning and risk mitigation.
When to Use
- Multi-team projects and programs
- Complex technical integrations
- Cross-organizational initiatives
- Identifying critical path items
- Resource allocation planning
- Preventing schedule delays
- Onboarding new team members
Quick Start
Minimal working example:
# Dependency mapping and tracking
class DependencyTracker:
DEPENDENCY_TYPES = {
'Finish-to-Start': 'Task B cannot start until Task A is complete',
'Start-to-Start': 'Task B cannot start until Task A starts',
'Finish-to-Finish': 'Task B cannot finish until Task A is complete',
'Start-to-Finish': 'Task B cannot finish until Task A starts'
}
def __init__(self):
self.tasks = []
self.dependencies = []
self.critical_path = []
def create_dependency_map(self, tasks):
"""Create visual dependency network"""
dependency_graph = {
'nodes': [],
'edges': [],
'critical_items': []
}
for task in tasks:
dependency_graph['nodes'].append({
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Dependency Mapping | Dependency Mapping |
| Dependency Management Board | Dependency Management Board |
| Dependency Resolution | Dependency Resolution |
| Dependency Dashboard Metrics | Dependency Dashboard Metrics |
What ships with it
5 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.
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.
- 2mo ago First seen · 104 lines · 33 tokens per session scan A 5dd7f1b3eaa2
dependency-tracking is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (376 stars, last pushed 8mo ago), licensed MIT. It adds 33 tokens to every session and 623 once invoked, about $0.0001 per session on Opus 5.5. 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.
dependency-tracking compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dependency-trackingaj-geddes/useful-ai-prompts | Skill | 376 | 8mo ago | MIT | A | 33 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |