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 asgard-ai-platform/skills --skill grad-narrativegit clone --depth 1 https://github.com/asgard-ai-platform/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/asgard-ai-platform/skills/grad-narrative)<a href="https://agentmods.dev/skills/asgard-ai-platform/skills/grad-narrative"><img src="https://agentmods.dev/badge/skills/asgard-ai-platform/skills/grad-narrative/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/asgard-ai-platform/skills/grad-narrative"><img src="https://agentmods.dev/badge/skills/asgard-ai-platform/skills/grad-narrative.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 | $0.00093 | $0.01323 |
| Opus 5 | $0.00046 | $0.00661 |
| Sonnet 5 | $0.00019 | $0.00265 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
grad-narrative 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 7d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Narrative Research
Overview
Narrative research studies human experience through the stories people tell about their lives. Stories are not merely reports of events but active constructions of meaning — organizing experience temporally, assigning causality, and shaping identity. The methodology preserves the wholeness of narratives rather than fragmenting them, attending to structure (how the story is told), content (what is told), and context (why and to whom).
When to Use
- Understanding how individuals make sense of pivotal life events or transitions
- Exploring identity construction and transformation over time
- Studying how cultural, organizational, or political narratives shape experience
- When temporal sequence and context are essential to understanding the phenomenon
When NOT to Use
- When the phenomenon is not experiential or temporal (use conceptual analysis)
- When participants cannot or prefer not to narrate their experience
- When the goal is to extract discrete variables or test causal hypotheses
- When cross-sectional snapshot data is sufficient
Assumptions
IRON LAW: In narrative research, the STORY is the unit of analysis —
fragmenting narratives into coded themes destroys the temporal and
contextual meaning. If you reduce stories to thematic codes, you are
doing thematic analysis, NOT narrative research.
Key assumptions:
- Humans are storytelling beings — narrative is the primary way we organize experience
- Stories are situated performances — shaped by audience, context, and purpose
- Temporality is constitutive — meaning emerges from the sequence and connection of events
- The researcher is a co-constructor of the narrative through the interview relationship
Methodology
Step 1: Elicit the Narrative
Conduct narrative interviews using a single generative question (e.g., "Tell me the story of..."). Allow the narrator to structure the telling. Avoid interrupting with probes until the main narrative is complete. Collect life stories, oral histories, or episode-specific narratives depending on the research focus.
What ships with it
1 file 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.
- 7d ago First seen · 122 lines · 93 tokens per session scan A 59af46456c80
grad-narrative is a skill published in the GitHub repository asgard-ai-platform/skills (228 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 1,323 once invoked, about $0.0005 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 2026-09-03.
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