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 prospect-list-cleanupgit 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/prospect-list-cleanup)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/prospect-list-cleanup"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/prospect-list-cleanup/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/prospect-list-cleanup"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/prospect-list-cleanup.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 | $0.00041 | $0.00438 |
| Opus 5.5 | $0.00016 | $0.00175 |
| Sonnet 5.5 | $0.00008 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
prospect-list-cleanup 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.
What it actually says
Prospect List Cleanup
Purpose
Normalize and improve the consistency of prospect-list data before outreach or import.
When to use this skill
- Preparing an export for CRM or outreach import
- Standardizing names, casing, and formats
- Flagging incomplete or broken rows
- Producing a defensible cleanup audit
When not to use this skill
- You need verified emails or enrichment, not cleanup
- The file has no consistent columns to normalize
- You want hard de-duplication (use Duplicate Record Review)
Required inputs
- A prospect or lead list
Optional inputs
- A target column schema
- Formatting conventions (casing, phone format)
- Fields that are mandatory
Rules
- Standardize formatting; do not invent missing values.
- Flag incomplete and suspect rows rather than deleting them.
- Record every change in normalization notes.
- Preserve the original value when flagging an error.
- Apply the same conventions to every row.
Process
- Profile the columns and detect formats.
- Normalize casing, names, companies, and formats.
- Flag incomplete and suspected-error rows.
- Record normalization notes.
- Produce a cleanup summary with counts.
Output format
Return the cleaned list plus a summary with the following fields:
- standardized_records
- incomplete_records
- suspected_errors
- normalization_notes
- cleanup_summary
Validation
- Confirm no values were invented.
- Confirm flagged rows retain their original data.
- Confirm the summary counts match the records.
Limitations
- It standardizes formatting, not factual accuracy.
- Suspected errors are heuristics and should be reviewed.
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 · 80 lines · 41 tokens per session scan A aa6bec34dd51
prospect-list-cleanup is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (11 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 438 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.
prospect-list-cleanup compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| prospect-list-cleanupspiralcrew-ou/profilespider-agent-skills | Skill | 11 | 4mo ago | MIT | A | 41 | 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 |