publisher profilecommunity

hjw21century

hjw21century publishes 4 tracked skills in DriftBot.

Catalog decision: Mixed but usable publisher: there is meaningful evidence here, but reputation still needs to be earned skill by skill.
4
indexed skills
64
average score
0
manual reviews
0
high-risk labels
catalog evidence snapshotno baseline-v3 receipts yetno functionality-v2 receipts yetno manual reviews yetno high-risk labels
Read this row as a catalog snapshot: runtime coverage, deeper follow-on coverage, human review presence, and high-risk concentration before you compare individual skills.

πŸ“Š Runtime quality summary

Runtime read: stronger publisher evidence means more than broad coverage β€” look for low current failure pressure, some functionality depth, and stale-runtime counts that stay under control.
eligible runtime skills: 4latest touch: n/ano current regressions
Baseline coverage
00% of eligible skills have baseline-v3 receipts
Baseline pass rate
0%0 passed Β· 0 currently failing
Functionality coverage
00% of baseline-cleared skills have functionality-v2
Fixture-backed rate
0%0 functionality-v2 rows have richer fixture/example proof
Stale baseline rows
0baseline receipts older than 7 days
Functionality failures
0current failed functionality-v2 rows in the latest publisher state

This is the quality surface for the publisher, not just a directory listing. It shows how much of the catalog has real receipts, how often those receipts are passing, whether richer fixture-backed proof exists, and whether the publisher currently carries regressions, reproduced failures, or stale runtime evidence.

Latest runtime touch: n/a. Publisher-level summaries do not replace skill-level review, but they do make reputation more earned: a publisher with broader coverage, stronger pass rates, and fixture-backed proof looks different from one living on thin smoke tests.

If you want the system-wide view, open the runtime dashboard. If you want the scoring logic, read the methodology.

No runtime receipts for this publisher yet.

Skills from this publisher

Showing 4 of 4 skills

Label mix on this page

Trusted: 3Use Caution: 0Insufficient Evidence: 1High Risk: 0

This distribution is a quick provenance cue, not a verdict. A publisher can have a mix of safer and riskier skills, so the useful move is to compare patterns here and then open the individual scorecards.

Publisher profiles are best for spotting catalog patterns: repeated shell access, common external services, whether manual review exists, and whether higher-risk labels are isolated or widespread.

On this page: 4 source-scanned, 0 catalog-only, and 0 manually reviewed entries in the current slice.

If you want the scoring logic, read the methodology. If you want the broader landscape, go back to the full index.

fs-street

hjw21century Β· vsource-scanned
70
overall

Fetches articles from Farnam Street RSS. Use when asking about decision-making, mental models, learning, or wisdom from Farnam Street blog.

Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

x-tweet-fetcher

hjw21century Β· vsource-scanned
69
overall

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Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

trending-skills

hjw21century Β· vsource-scanned
64
overall

Fetches skills.sh trending rankings. Use when asking about skill rankings or popular tools.

Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

agent-estimation

hjw21century Β· vsource-scanned
52
overall

Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead of human time. Use when asked to estimate, scope, plan, or evaluate how long a coding task will take. Prevents the common failure mode where agents anchor to human developer timelines and massively overestimate. Outputs a structured breakdown with round counts, risk factors, and a final wallclock conversion.

Insufficient Evidenceconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.
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Trust reading guide

Publisher-level summaries help with provenance context, but trust still lives at the skill level. Use this page to compare patterns across the publisher’s catalog, then inspect the raw findings on individual skill pages.

Back to the full index