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 aigentive/RalphX --skill dependency-analysisgit clone --depth 1 https://github.com/aigentive/RalphXWrote 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/aigentive/ralphx/dependency-analysis)<a href="https://agentmods.dev/skills/aigentive/ralphx/dependency-analysis"><img src="https://agentmods.dev/badge/skills/aigentive/ralphx/dependency-analysis/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/aigentive/ralphx/dependency-analysis"><img src="https://agentmods.dev/badge/skills/aigentive/ralphx/dependency-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00010 | $0.01598 |
| Opus 5.5 | $0.00004 | $0.00639 |
| Sonnet 5.5 | $0.00002 | $0.00320 |
| Haiku 4.5 | $0.00001 | $0.00160 |
Grade A, and why
dependency-analysis 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 1mo 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 — 288 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependency Analysis Skill
This skill helps identify, validate, and manage dependencies between tasks.
Types of Dependencies
1. Technical Dependencies
One task requires another's output:
- "Create user type" must precede "Create user repository"
- "Set up database" must precede "Write migrations"
- "Define API contract" must precede "Implement API client"
2. Logical Dependencies
Natural ordering based on workflow:
- "Design UI mockup" before "Implement UI"
- "Write tests" before "Implement feature" (TDD)
- "Create component" before "Style component"
3. Resource Dependencies
Shared resources or infrastructure:
- "Set up CI/CD" enables "Automated testing"
- "Configure environment" enables "Deploy to staging"
Identifying Dependencies
Questions to Ask
- Input Requirements: What data/types does this task need?
- API/Interface: What functions/methods does this call?
- Infrastructure: What systems must exist?
- Knowledge: What decisions must be made first?
Dependency Indicators
Code-level:
- Imports a module that doesn't exist yet
- Calls a function not yet implemented
- Uses a type not yet defined
- Queries data not yet modeled
Process-level:
- "After we decide on X..."
- "Once Y is set up..."
- "When Z is available..."
- "Building on the work from..."
Dependency Graph Concepts
In-Degree and Out-Degree
- In-Degree: Number of tasks this depends ON
- Out-Degree: Number of tasks that depend on THIS
High out-degree = Critical blocker (do first) High in-degree = Wait for dependencies (do later)
Critical Path
The longest chain of dependencies from start to finish:
A -> B -> C -> D -> E (critical path = 5)
\-> F -> G (parallel path = 3)
Tasks on the critical path determine minimum completion time.
Cycles (Bad!)
Circular dependencies prevent completion:
A depends on B
B depends on C
C depends on A <- CYCLE!
Always check for and eliminate cycles.
Dependency Patterns
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.
- 1mo ago First seen · 288 lines · 10 tokens per session scan A a275facd3cab
dependency-analysis is a skill published in the GitHub repository aigentive/RalphX (5 stars, last pushed 24d ago), licensed Apache-2.0. It adds 10 tokens to every session and 1,598 once invoked, about $0.0000 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 2026-08-31.
Other skills, from other repositories
story-readiness
Checks whether a story is ready to implement: clear acceptance criteria, no open questions, valid ADR and dependencies. Use when the user asks if a story, or the sprint's stories, are ready to start or build.
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.
workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
projects
List all managed projects with status, branch, open PRs, and open issue counts — portfolio-level view.
qa-project-bootstrap
Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. Produces a 30-day ramp plan: codebase orientation, framework walkthrough, test architecture audit, mentorship pairing, and first-test guidance. Use when: "QA onboarding," "new tester," "ramp up," "test architecture audit,"…