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 spiralcrew-ou/profilespider-agent-skills --skill b2b-lead-qualificationgit clone --depth 1 https://github.com/spiralcrew-ou/profilespider-agent-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/spiralcrew-ou/profilespider-agent-skills/b2b-lead-qualification)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/b2b-lead-qualification"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/b2b-lead-qualification/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/spiralcrew-ou/profilespider-agent-skills/b2b-lead-qualification"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/b2b-lead-qualification.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 | $0.00054 | $0.00527 |
| Opus 5.5 | $0.00022 | $0.00211 |
| Sonnet 5.5 | $0.00011 | $0.00105 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
b2b-lead-qualification 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
B2B Lead Qualification
Purpose
Score and classify B2B prospects against a defined ideal customer profile, with reasoning and a recommended next action.
When to use this skill
- Qualifying exported prospect lists before outreach
- Prioritizing accounts when you have more leads than capacity
- Separating high-fit and low-fit companies
- Documenting why a prospect matches an ICP
When not to use this skill
- You have no defined ICP or qualification criteria yet
- You need verified contact details rather than fit scoring
- The dataset has no company or firmographic fields to score against
Required inputs
- An ICP definition
- A prospect or company dataset
- Qualification criteria
Optional inputs
- Exclusion criteria
- Weighted scoring rules
- Target locations
- Company size range
- Required technologies or industries
Rules
- Use only information present in the supplied dataset or explicitly provided by the user.
- Do not invent missing company, contact, revenue, employee, technology, or location information.
- Clearly distinguish known facts from assumptions.
- Flag missing information that materially affects the score.
- Apply the same scoring framework consistently to every prospect.
Process
- Parse the ideal customer profile.
- Extract positive qualification criteria.
- Extract disqualifying criteria.
- Evaluate each prospect against both sets.
- Assign a score from 0 to 100.
- Explain the score using available evidence.
- Recommend the next action.
Output format
Return one record per prospect with the following fields:
- fit_score
- fit_level
- qualification_reason
- supporting_evidence
- missing_information
- recommended_next_action
Validation
- Confirm every score is supported by evidence from the input.
- Confirm missing fields are listed rather than guessed.
- Confirm the same criteria were applied to every record.
Limitations
- Scores reflect fit, not intent or buying readiness.
- A high score is not a guarantee of a sale; verify before investing heavily.
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 · 88 lines · 54 tokens per session scan A 1fbc379b372e
b2b-lead-qualification is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (11 stars, last pushed 4mo ago), licensed MIT. It adds 54 tokens to every session and 527 once invoked, about $0.0002 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.
b2b-lead-qualification compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| b2b-lead-qualificationspiralcrew-ou/profilespider-agent-skills | Skill | 11 | 4mo ago | MIT | A | 54 | Claude Code, Codex |
| squeeze-page-builderAffitor/affiliate-skills | Skill | 767 | 18d ago | MIT | A | 114 | Claude Code |
| deepline-ads-audiencesgetaero-io/gtm-eng-skills | Skill | 73 | yesterday | MIT | A | 133 | Claude Code, Codex |
| deepline-enginegetaero-io/gtm-eng-skills | Skill | 73 | yesterday | MIT | A | 43 | Claude Code, Codex |
| deepline-plays-reviewgetaero-io/gtm-eng-skills | Skill | 73 | yesterday | MIT | A | 121 | Codex |
| b2b-marketing-playbookGingiris-1031/gingiris-skills | Skill | 89 | 2d ago | MIT | A | 53 | Claude Code, Codex |
| deepline-crm-cleaninggetaero-io/gtm-eng-skills | Skill | 73 | yesterday | MIT | A | 73 | Claude Code, Codex |