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 deciqAI/knowledge-skills --skill jobs-to-be-donegit clone --depth 1 https://github.com/deciqAI/knowledge-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/skills/deciqai/knowledge-skills/jobs-to-be-done)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/jobs-to-be-done"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/jobs-to-be-done/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/deciqai/knowledge-skills/jobs-to-be-done"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/jobs-to-be-done.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00117 | $0.01972 |
| Opus 5 | $0.00059 | $0.00986 |
| Sonnet 5 | $0.00023 | $0.00394 |
| Haiku 4.5 | $0.00012 | $0.00197 |
Grade A, and why
jobs-to-be-done 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Jobs to Be Done (JTBD)
Overview
People don't buy products — they hire products to do a job (make progress in a specific circumstance, across functional, emotional, and social dimensions). Customers switch when a new hire does the job better; they churn when your product stops serving the job. Developed by Christensen, Moesta, and Taddy Hall; codified in Competing Against Luck (2016). Rooted in Levitt's 1960 insight: "People don't want a quarter-inch drill, they want a quarter-inch hole."
Composes with pmf-crossing-the-chasm, mvp, switching-costs, first-principles.
When to Use
- Product is technically excellent but customers don't switch from incumbents
- Demographic segmentation produces segments that don't behave alike
- Churn is high but exit surveys don't predict it; roadmap debate is feature-vs-feature
- New market entry: "who is our customer" instead of "what job"
- Building an AI-native product or "AI wrapper": are users hiring us for output/features, or for progress (get unblocked, ship faster) — and are we losing to AI adoption, the base model's own app, or non-consumption?
Not when: commodity; regulatory-compliance purchase; org buyer with different motivations than end-user.
Coaching Novices (Adaptive Front Door)
- Engine mode: concrete product/customer case → run The Process directly.
- Coach mode: unfamiliar or no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-line: people hire products to do a job — the competitor set is everything the buyer considered, not just your category.
- Check fit: commodity / regulatory-buy / no-choice → not this lens.
- Elicit the real product and customer behavior they're trying to understand.
[WAIT — do not advance until user responds]
- One question at a time: what job is the customer hiring this for? what circumstance? what did they hire before?
[WAIT — do not advance until user responds]
- Close: job statement + the non-obvious competitor they're actually choosing between.
[WAIT — do not advance until user responds]
What ships with it
3 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.
- 9d ago First seen · 124 lines · 117 tokens per session scan A e1de7d9f40a5
jobs-to-be-done is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 117 tokens to every session and 1,972 once invoked, about $0.0006 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 2026-09-03.
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