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.
git clone --depth 1 https://github.com/catch-the-wave/fullstack-ios-claude-skillsWrote 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/commands/catch-the-wave/fullstack-ios-claude-skills/jobs-graph)<a href="https://agentmods.dev/commands/catch-the-wave/fullstack-ios-claude-skills/jobs-graph"><img src="https://agentmods.dev/badge/commands/catch-the-wave/fullstack-ios-claude-skills/jobs-graph/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/commands/catch-the-wave/fullstack-ios-claude-skills/jobs-graph"><img src="https://agentmods.dev/badge/commands/catch-the-wave/fullstack-ios-claude-skills/jobs-graph.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 | $0.00012 | $0.00526 |
| Opus 5 | $0.00006 | $0.00263 |
| Sonnet 5 | $0.00002 | $0.00105 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
jobs-graph 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jobs Graph Generation
Work according to the Advanced Jobs To Be Done methodology.
Describe the jobs graph below the level of Core Job for a segment.
Input Required
Please provide:
- Segment description: {segment description from segment generation prompt}
- Product description: {product description with link to website}
- Core Job: {Core Job description from segment generation prompt work}
Jobs Graph Structure
A jobs graph shows all jobs at a lower level than the segment's Core Jobs that a person performs to complete the Core Job. Describe the complete sequence of jobs with the following details:
For Each Job:
When:
- Context: {the context in which the person performs this job}
- Trigger: {what happened that triggered this job}
- Emotions at point A: {emotional state before the job is done}
Want to get the expected result:
- {what result the person wants to achieve}
Success criteria:
- {criteria by which the person will evaluate that they achieved the result well enough}
Problems [if any]:
- {problems encountered while performing this job}
- Problem strength on a 10-point scale: {1-10}
Example Format
Job 1: Choose the right product category
When:
- Context: browsing the website, not familiar with the product range
- Trigger: opened the homepage
- Emotions at point A: uncertainty, slight anxiety about making the wrong choice
Want: quickly understand which category suits my needs
Success criteria:
- categories are clearly named
- I can see examples of products in each category
- takes less than 30 seconds to decide
Problems:
- Category names are too abstract
- No visual examples Problem strength: 7/10
Instructions
- Start from the earliest job in the sequence (often awareness or trigger)
- Progress chronologically through all jobs needed to complete the Core Job
- Include all critical jobs - missing even one can break the entire sequence
- For each job, be specific about context, triggers, and success criteria
- Identify real problems with their severity (many jobs may have no problems)
- Focus on jobs the user actually performs, not idealized flows
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.
- 9d ago First seen · 77 lines · 12 tokens per session scan A fa28dd28fa2f
jobs-graph is a command published in the GitHub repository catch-the-wave/fullstack-ios-claude-skills (5 stars, last pushed 8mo ago), licensed MIT. It adds 12 tokens to every session and 526 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 2026-08-31.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.