Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mstr-sharma/strategy-automatenpx agentmods add skills/mstr-sharma/strategy-automate/create-unstructured-dataWrote 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/mstr-sharma/strategy-automate/create-unstructured-data)<a href="https://agentmods.dev/skills/mstr-sharma/strategy-automate/create-unstructured-data"><img src="https://agentmods.dev/badge/skills/mstr-sharma/strategy-automate/create-unstructured-data.svg" alt="Measured on agentmods" 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 | $0.00129 | $0.01472 |
| Opus 5 | $0.00064 | $0.00736 |
| Sonnet 5 | $0.00026 | $0.00294 |
| Haiku 4.5 | $0.00013 | $0.00147 |
Grade A, and why
create-unstructured-data 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Unstructured Data (Nuggets)
Turn a local document into a Strategy unstructured-data nugget so AI surfaces
(Auto Agent, chat, question answering) can ground on it. Doc reference:
rest-api-docs → common-workflows → analytics → unstructured-data-api.
Accepted inputs
| Input | Handling | API fileType |
|---|---|---|
.pdf |
direct upload | 0 |
.docx |
direct upload | 1 |
.md / .markdown |
direct upload | 3 |
.txt |
direct upload | 4 |
.eml |
direct upload | 5 |
.pptx / .potx |
auto-converted to Markdown (pptx_to_md.py, stdlib-only), then uploaded as fileType 3 |
— |
PowerPoint is NOT accepted by the API — conversion is mandatory, not optional.
.ppt (legacy binary) is not convertible by the stdlib extractor; ask the user to
re-save as .pptx or export text another way.
Environment / prerequisites
- Standard env vars:
MSTR_BASE,MSTR_USER,MSTR_PASSWORD,MSTR_PROJECT_ID(orMSTR_PROJECT_NAME),MSTR_DEST_FOLDER_ID(destination folder for the nugget). - The nuggets API family ships in recent Strategy ONE releases (docs say April 2026+).
Verify before promising:
build_mosaic.py openapi-search "nugget"must show/api/nuggets. Most nugget endpoints arevisibility: internal— fetch{Library}/api/openapi.yaml?visibility=allto see the full set (/{id},/{id}/file,/{id}/categories,/status/query,/{id}/deleteRequest,/orphans).
One-shot workflow
cd "$REPO"
python3 skills/create-unstructured-data/scripts/create_unstructured.py DECK.pptx \
[--notes] [--title "Doc Title"] [--name "display-name.md"] \
[--folder-id <ID>] [--no-poll] [--poll-timeout 120]
What it does: (pptx only) convert to Markdown alongside the source → login →
resolve project → multipart POST /api/nuggets?type=unstructuredData with
file, fileName, fileType, fileSize, folderId → parse {"id": ...} →
poll POST /api/nuggets/status/query with {"nuggets":[{"id","projectId"}]}
until the status record is stable → print JSON (nuggetId, uploadedFile,
raw status observations).
What ships with it
2 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.
- 7d ago First seen · 100 lines · 129 tokens per session scan A aeb28642b859
create-unstructured-data is a skill published in the GitHub repository mstr-sharma/strategy-automate (2 stars, last pushed 3d ago), licensed MIT. It adds 129 tokens to every session and 1,472 once invoked, about $0.0006 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 2026-08-31.
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