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 QinghongLin/data2story-skill --skill find-datagit clone --depth 1 https://github.com/QinghongLin/data2story-skillWrote 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/qinghonglin/data2story-skill/find-data)<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/find-data"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/find-data.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 267 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00072 | $0.03397 |
| Opus 5 | $0.00036 | $0.01699 |
| Sonnet 5 | $0.00014 | $0.00679 |
| Haiku 4.5 | $0.00007 | $0.00340 |
Grade A, and why
find-data scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **`urllib`** — stdlib, no install (`fetch.py` downloads, `audit.py` HEAD-checks). How it starts
The opening of the file, as written. The whole thing — 289 lines — stays where its author put it; the contents beside it link to each section on GitHub.
find-data
Turn an idea, URL, or category into a phase2/datasets/<name>/ folder
that the /data2story-pro pipeline can run on without crashing.
You are the gatekeeper before the 7-agent newsroom. Detective, Analyst, Editor, Designer, Programmer, Auditor, Inspector all assume the data is already there, parseable, and provenanced. Your job is to make sure that's true before they start.
Refuse to mark a folder ready until it passes 4 gates. See
references/completeness_gates.md for the criteria. The gates are codified
in tools/audit.py, not in this prose.
Prerequisites
Python deps for the tools/:
pandas— required (audit.pyreads/inspects CSV/JSON).openpyxl— required only when a source is.xlsx(audit.py'spd.ExcelFile); a mid-run missing-openpyxlis the usual cause of an XLSX audit error.urllib— stdlib, no install (fetch.pydownloads,audit.pyHEAD-checks).
One install line:
pip install pandas openpyxl
After editing anything under tools/, run the no-network regression suite:
py tools/selftest.py (exit 0 = pass).
Resolve paths first
SKILL_DIR= directory containing thisSKILL.mdWORKSPACE= ancestor that containsphase2/datasets/(the parent repo root), if one existsDATASETS_ROOT=WORKSPACE/phase2/datasetswhenWORKSPACEexists; otherwise./datasets(clone-relative, under the current working dir) — the open-source clone has nophase2/datasetsBLOGS_ROOT=WORKSPACE/phase2/blogswhenWORKSPACEexistsOUT_DIRdefault =DATASETS_ROOT/<name>(so./datasets/<name>on an OSS clone). Callers may override with an explicit--out, which always wins.INPUT= first positional argument from$ARGUMENTS- Parse flags from
$ARGUMENTS:--mode,--source,--out,--validate-only
Never hard-code machine paths. Resolve at runtime by walking up from SKILL_DIR.
Step 0 — Classify the input
Decision tree (the FIRST condition that matches wins):
What ships with it
10 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.
- references/completeness_gates.md 4.1 KB
- references/examples/good_economist.md 3.4 KB
- references/examples/good_theme.md 3.4 KB
- references/input_mode_dispatch.md 3.9 KB
- tools/audit.py 17 KB runs code
- tools/browse_local.py 7.6 KB runs code
- tools/dip_query.py 4.4 KB runs code
- tools/fetch.py 15 KB runs code
- tools/README_template.md 1.3 KB
- tools/selftest.py 7.9 KB runs code
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.
- 8d ago First seen · 289 lines · 72 tokens per session scan A dc57e36a9807
find-data is a skill published in the GitHub repository QinghongLin/data2story-skill (155 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 3,397 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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