Install
$ agentstack add skill-skill-commons-skill-commons-starhorse-access ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
StarHorse Access — SHboost-2024 & SH21 EDR3
When to Use
Use this skill for ANY StarHorse-related data work. Two products:
- SHboost-2024 — XGBoost-approximated posteriors, public Parquet on S3
- SH21 EDR3 — Full Bayesian StarHorse posteriors for Gaia EDR3, via gaia.aip.de TAP
Data Papers & Acknowledgment
Cite the source papers in any work using these products:
- SH21 EDR3 — Anders, Khalatyan, Queiroz et al. 2022, A&A 658, A91.
- SHboost-2024 — Khalatyan, Anders, Chiappini et al. 2024, A&A 691, A98.
These are access instructions only; the catalogs remain the authors' work under their own terms. Follow the gaia.aip.de data-acknowledgment policy when publishing.
Quick Decision
- **Nearby stars (= 0.95` for flag-cleaned sample
Plotting: CMD Hexbin (reproduces paper Figure 5)
fig, ax = plt.subplots(figsize=(7, 7))
hb = ax.hexbin(df['bprp0'], df['mg0'], gridsize=80, cmap='jet',
norm=mpl.colors.LogNorm(), mincnt=1, edgecolors='none')
ax.invert_yaxis()
ax.set_xlabel(r'$G_{BP} - G_{RP}$')
ax.set_ylabel(r'$M_G$')
Pitfalls
- Pandas float32 boolean chaining:
(df['col'] > 0) & (df['col2'] < 1)— wrap EVERY comparison in parentheses for float32 columns. - ADQL vs PostgreSQL:
get_one_query()useslanguage='postgresql'. ADQL viarun_sync()is simpler for routine queries. run_sync()returns pyvo TAPResults, NOT DataFrame. Use.to_qtable().to_pandas()orpd.DataFrame({c: data[c] for c in data.colnames}). Column names are in.colnames, NOT.fieldnames.- Run in foreground. PostgreSQL TAP jobs on gaia.aip.de typically complete in ~17 s for 200 k rows (verified 2026-06-30), but use
timeout=300to be safe. If you launch viaterminal(background=true), the job keeps running after the session ends and creates stray completion nudges. Run the query script in foreground. - Data quality: ~98.6 % valid rows. A
LIMIT 200000query returns ~197 k rows with non-null bprp0/mg0. The ~1.4 % nulls are stars lacking BPRP or MG photometry. Always check.notna()before plotting. submit_jobreturns immediately;job.run()starts execution. You must call both.- Timeout on
job.wait()is per-wait. If the first 10 s wait times out (job still processing), calljob.wait()again in a loop or set a longer timeout. - No
LIMITsyntax issue. PostgreSQL dialect supportsLIMITnatively. ADQL requiresTOP NorWHERE random_index < N. - ADQL async endpoint may return 404. If you see
/async/phase404 errors, switch to ADQL viatap_service.search()instead. - shphotoflag and shoutflag are VARCHAR. Always compare with string literals.
- All float columns are float32. Convert to float64 before chained boolean masks.
fidelityis 0–1 continuous. Use for quality cuts.
Verification
- Data source and access path explicitly recorded.
- Key columns and caveats documented.
- SH21 schema verified 2026-06-30 against live gaia.aip.de TAP query.
- Full schemas re-validated 2026-07-20 against TAP_SCHEMA + the SHboost Parquet
footer → references/schema.md (SHboost column list corrected: xgb_* naming, no *50 columns).
- Data-paper citations + accountable curator/ORCID added 2026-07-21 (Skill Commons
first-package publication prep).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: skill-commons
- Source: skill-commons/skill-commons
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.