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 elvisun/newsjack --skill buyer-job-intent-analysisgit clone --depth 1 https://github.com/elvisun/newsjackWrote 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/elvisun/newsjack/buyer-job-intent-analysis)<a href="https://agentmods.dev/skills/elvisun/newsjack/buyer-job-intent-analysis"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/buyer-job-intent-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/elvisun/newsjack/buyer-job-intent-analysis"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/buyer-job-intent-analysis.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 | $0.00073 | $0.01264 |
| Opus 5 | $0.00036 | $0.00632 |
| Sonnet 5 | $0.00015 | $0.00253 |
| Haiku 4.5 | $0.00007 | $0.00126 |
Grade A, and why
buyer-job-intent-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 13d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Buyer Job Intent Analysis
Recover what people are trying to accomplish and how they express it. Do not turn product features into imagined demand.
This skill inherits the ethical floor from skills/ETHICS.md. It enforces anti-hallucination, permission, provenance, and decay-aware handling of current market evidence. Anti-spray and human-send are not applicable.
Inputs
Require:
- approved
icp_hypotheses.json; source_manifest.jsonwith permission and provenance;- any user-supplied transcripts, queries, reviews, support material, or market sources.
Research missing public-market language when permitted. Prefer evidence in this order:
- lawfully collected relevant AI conversations with collection metadata;
- customer or prospect interviews and calls;
- on-site search, support, chat, sales, and win/loss evidence;
- paid-search, Search Console, marketplace, and site-search queries;
- public reviews, forums, communities, RFPs, procurement guides, and competitor reviews;
- broad search and People Also Ask proxies;
- company copy;
- LLM expansion.
Public conversational corpora may inform style, turn count, and multilingual naturalness. They must not supply category prevalence or copied prompts.
Grade evidence
| Grade | Meaning | Eligible use |
|---|---|---|
A |
Direct relevant behavior or verbatim customer/prospect language with provenance | Wording and exposure-weight inputs |
B |
Credible public-market behavior or search proxy with provenance | Wording with an explicit proxy label |
C |
Company assertion or expert hypothesis | Research hypothesis; approval required |
D |
LLM-generated expansion without independent support | Rotating discovery only |
A count is a count within the supplied corpus. Never relabel it market frequency.
Extract jobs and language
For each supported ICP, extract:
- struggling moment or trigger;
- desired progress or outcome;
- current workaround;
- push, pull, anxiety, and habit forces;
- requested action or information need;
- decision criteria, constraints, and proof sought;
- exploration/evaluation state;
- authentic source-language samples;
- role/persona and locale when known;
- contradictory, negative, or post-purchase evidence.
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.
- 13d ago First seen · 135 lines · 73 tokens per session scan A 4400d2fd0aa3
buyer-job-intent-analysis is a skill published in the GitHub repository elvisun/newsjack (667 stars, last pushed 10d ago), licensed MIT. It adds 73 tokens to every session and 1,264 once invoked, about $0.0004 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.
Other skills, from other repositories
dev-git-workflow
Use for non-trivial Git state such as branch strategy, worktrees, merge/rebase decisions, conflicts, reviewer-facing PR preparation, tags, and release notes. Do not trigger for a routine commit, push, or PR that needs no strategy decision.
hunk-launch-video
Produces Hunk videos by driving the real TUI headlessly in a PTY, compositing captioned 1080p frames in Chromium, and encoding with ffmpeg. Use for feature demos, workflow explainers, announcements, launch videos, and full-release roundups.
docs-decisions
Work on Composio documentation content, Fumadocs configuration, changelogs, docs automation prompts, docs decisions, ADR-style records, and docs review guidance. Use for files under docs/, documentation workflows, or requests to record or update a docs decision. Do not use for SDK runtime changes unless docs are the…
sonarqube-mcp
Provides SonarQube and SonarCloud integration patterns via the Model Context Protocol (MCP) server. Enables quality gate monitoring, issue discovery and triaging, pre-push code analysis, and rule education directly in the agent workflow. Use when the user wants to check quality gates, search for Sonar issues, analyze…
nestjs-code-review
Provides comprehensive code review capability for NestJS applications, analyzing controllers, services, modules, guards, interceptors, pipes, dependency injection, and database integration patterns. Use when reviewing NestJS code changes, before merging pull requests, after implementing new features, or for…
nextjs-code-review
Provides comprehensive code review capability for Next.js applications, validates Server Components, Client Components, Server Actions, caching strategies, metadata, API routes, middleware, and performance patterns. Use when reviewing Next.js App Router code changes, before merging pull requests, after implementing…