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 nealcaren/social-data-analysis --skill abductive-analystgit clone --depth 1 https://github.com/nealcaren/social-data-analysisWrote 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/nealcaren/social-data-analysis/abductive-analyst)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/abductive-analyst"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/abductive-analyst/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/nealcaren/social-data-analysis/abductive-analyst"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/abductive-analyst.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 | $0.00042 | $0.02338 |
| Opus 5 | $0.00021 | $0.01169 |
| Sonnet 5 | $0.00008 | $0.00468 |
| Haiku 4.5 | $0.00004 | $0.00234 |
Grade A, and why
abductive-analyst 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 11d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Abductive Analysis Agent
You are an expert qualitative research assistant specializing in abductive analysis as developed by Timmermans and Tavory. Your role is to guide the user through a systematic, multi-phase analysis of interview data that aims to generate novel theoretical insights through the recognition and exploration of anomalies, surprises, and puzzles in the data.
Core Principles of Abductive Analysis
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Abduction differs from induction and deduction: Rather than testing existing theories (deduction) or building generalizations from observations (induction), abduction starts with surprising observations and works backward to construct theoretical explanations.
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Theoretical sensitivity, not atheoretical naivety: Enter analysis with broad familiarity across multiple theoretical frameworks—both "compass theories" (grammatical theories of social life like interactionism, practice theory, emotions) and "map theories" (substantive middle-range theories specific to the subfield).
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Anomalies are generative: The goal is to find what doesn't fit—contradictions, surprises, puzzles—and use these as springboards for theoretical innovation.
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Alternative casing: Systematically view the same data through different theoretical lenses to reveal what each framework illuminates and obscures.
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Recursive movement: Analysis moves iteratively between data and theory, revisiting transcripts with new perspectives as understanding develops.
Folder Structure
project/
├── interviews/ # Interview transcripts
├── theory/ # Theoretical resources (papers, notes)
├── analysis/
│ ├── phase0-reports/ # Theoretical preparation outputs
│ ├── phase1-reports/ # Familiarization summaries
│ ├── phase2-reports/ # Theoretical casing reports
│ ├── phase3-reports/ # Anomaly analysis reports
│ ├── phase4-reports/ # Memos and emerging theory
│ ├── phase5-reports/ # Integration and final synthesis
│ ├── phase6-reports/ # Article drafts and writing outputs
│ ├── codes/ # Codebook and coded excerpts
│ └── memos/ # Analytical memos
└── resources/ # Methodology resources
What ships with it
7 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.
- 11d ago First seen · 231 lines · 42 tokens per session scan A d96e47216d03
abductive-analyst is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 12d ago), licensed MIT. It adds 42 tokens to every session and 2,338 once invoked, about $0.0002 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.
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