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 directory-research-plannergit 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/directory-research-planner)<a href="https://agentmods.dev/skills/spiralcrew-ou/profilespider-agent-skills/directory-research-planner"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/directory-research-planner/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/directory-research-planner"><img src="https://agentmods.dev/badge/skills/spiralcrew-ou/profilespider-agent-skills/directory-research-planner.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 | $0.00050 | $0.00443 |
| Opus 5.5 | $0.00020 | $0.00177 |
| Sonnet 5.5 | $0.00010 | $0.00089 |
| Haiku 4.5 | $0.00005 | $0.00044 |
Grade A, and why
directory-research-planner 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
Directory Research Planner
Purpose
Turn an ICP or research goal into a plan for finding and scraping suitable directories.
When to use this skill
- Planning where to source a new list
- Translating an ICP into search queries
- Choosing the right directory types
- Scoping a scraping project before starting
When not to use this skill
- You already have your source list
- You need the data extracted now (this plans, it does not scrape)
- Your audience is not present in public directories
Required inputs
- An ICP or research goal
Optional inputs
- Known good sources
- Geographies to focus on
- Fields you must collect
Rules
- Tie every recommendation to the stated ICP/goal.
- Suggest public, accessible source types.
- Make inclusion and exclusion criteria explicit.
- Recommend an efficient extraction order.
- Note assumptions where the goal is vague.
Process
- Parse the ICP or goal.
- Identify directory and source types.
- Draft search queries.
- Define fields and inclusion/exclusion criteria.
- Recommend an extraction workflow.
Output format
Return a sourcing plan with the following fields:
- directory_types
- suggested_source_categories
- search_queries
- fields_to_collect
- inclusion_criteria
- exclusion_criteria
- recommended_extraction_workflow
Validation
- Confirm sources match the ICP.
- Confirm criteria are explicit and testable.
- Confirm the workflow is actionable.
Limitations
- It plans sources; it does not verify they exist.
- Some audiences are not well represented in public directories.
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 · 83 lines · 50 tokens per session scan A 811143e9fc76
directory-research-planner is a skill published in the GitHub repository spiralcrew-ou/profilespider-agent-skills (11 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 443 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.
directory-research-planner compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| directory-research-plannerspiralcrew-ou/profilespider-agent-skills | Skill | 11 | 4mo ago | MIT | A | 50 | 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 |