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 duthaho/skillhub --skill newskillgit clone --depth 1 https://github.com/duthaho/skillhubWrote 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/duthaho/skillhub/newskill)<a href="https://agentmods.dev/skills/duthaho/skillhub/newskill"><img src="https://agentmods.dev/badge/skills/duthaho/skillhub/newskill/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/duthaho/skillhub/newskill"><img src="https://agentmods.dev/badge/skills/duthaho/skillhub/newskill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00055 | $0.01265 |
| Opus 5.5 | $0.00022 | $0.00506 |
| Sonnet 5.5 | $0.00011 | $0.00253 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
newskill 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 1mo 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
newskill — add a skill without drift
/newskill scaffold <name> "<description>" <category> — create a new skill, registered
/newskill fix [<name>] — complete a skill that exists in some surfaces but not others
A skillhub skill lives in four surfaces, and it is only really "added" when all four agree:
- Folder —
.claude/skills/<name>/SKILL.mdwith valid frontmatter. - README table row — a row in the right category table (a prose mention does not count; the validator checks for a table row specifically).
- Marketplace —
<name>listed in one plugin'sskills[]in.claude-plugin/marketplace.json. - Trigger evals — cases in
evals/triggers.json(model-invoked skills only; user-invoked skills are exempt).
Drift is these four disagreeing — the default failure of hand-adding a
skill. The oracle for drift is python3 scripts/validate-skills.py: it already
reports which surfaces are missing. This skill's whole job is to make the four
agree and leave the validator green.
The loop (both modes end here)
Run python3 scripts/validate-skills.py → read each FAIL/WARN → fix that exact
surface → re-run. Repeat until no FAIL. Never assert done from memory; the
validator is cheap and authoritative.
Mode: scaffold
Adding a brand-new skill from a name + description + category.
- Guard. If
.claude/skills/<name>/already exists, stop — this is afix, not a scaffold; never overwrite an existingSKILL.md. Also reject a<name>that collides with a harness built-in (the validator'sBUILTINSset) or an existing skill. - Folder. Write
.claude/skills/<name>/SKILL.mdwith frontmatter (name= folder name) and adescription. Ifout/tune/principles.mdexists, read it before writing the body — each line is an authoring rule distilled from accepted past fixes. Keep the description ≤ 950 chars (soft limit; hard wall is 1024) — front-load the leading word, one trigger per branch. For a user-invoked tool adddisable-model-invocation: trueand write a human-facing one-line description (no trigger list). - Category → plugin + table.
<category>is one ofcoding-loop/research/daily. Add./.claude/skills/<name>to that plugin'sskills[]inmarketplace.json, and add one row to the matching README category table. - Trigger evals (model-invoked only). Add ≥2 cases to
evals/triggers.json, including a routing pair against the nearest neighbour skill. Skip for user-invoked skills. - Pre-flight the body's snippets. Every snippet the new
SKILL.mdembeds is tried once against real data before the skill ships, output quoted in-session: execute each bash line (placeholders filled with real values), fetch each API endpoint, read each referenced path. A snippet that fails as written is a bug in the skill, not a formatting nit. Two honest outs, both flagged unverified and never skipped silently: one that can't run here (external account, missing binary, a file that exists only mid-run), and one that would mutate real state — never run something destructive just to prove it. This is tune's prove-the-rules-bite extended from config to authoring. (Fix mode is exempt — it never writes a body.) - Run the loop above until green.
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.
- 1mo ago First seen · 99 lines · 55 tokens per session scan A 437a5dc47673
newskill is a skill published in the GitHub repository duthaho/skillhub (9 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 1,265 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
chief-data-officer-advisor
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data…
vpe-advisor
VP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and…
general-counsel-advisor
General Counsel advisory for startups: contract review (MSA, SaaS, NDA, DPA, employment), IP strategy, term sheet decoding, and regulatory landscape mapping. Use when reviewing any contract or term sheet, deciding when to engage outside counsel, defining IP strategy, evaluating regulatory exposure (HIPAA, GDPR, FDA…
strategic-alignment
Cascades strategy from boardroom to individual contributor. Detects and fixes misalignment between company goals and team execution. Covers strategy articulation, cascade mapping, orphan goal detection, silo identification, communication gap analysis, and realignment protocols. Use when teams are pulling in different…
board-meeting
Multi-agent board meeting protocol for strategic decisions. Runs a structured 6-phase deliberation: context loading, independent C-suite contributions (isolated, no cross-pollination), critic analysis, synthesis, founder review, and decision extraction. Use when the user invokes /c-level-agents:boardroom, calls a…
wrap-up
Close out a launched Claude Managed Agent — recap every primitive the founder now owns, regenerate the single-file overview page, and suggest the next 1-2 upgrades. Use when the user says "wrap up", "close this out", "what do I own now", "give me the summary", "recap the agent", or when the orchestrator routes…