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 runxhq/runx --skill content-pipelinegit clone --depth 1 https://github.com/runxhq/runxWrote 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/runxhq/runx/content-pipeline)<a href="https://agentmods.dev/skills/runxhq/runx/content-pipeline"><img src="https://agentmods.dev/badge/skills/runxhq/runx/content-pipeline/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/runxhq/runx/content-pipeline"><img src="https://agentmods.dev/badge/skills/runxhq/runx/content-pipeline.svg" alt="Reviewed on agentmods" width="80" 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 40 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 | $0.00026 | $0.00685 |
| Opus 5 | $0.00013 | $0.00342 |
| Sonnet 5 | $0.00005 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
content-pipeline 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 9d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content Pipeline
This is the standard preparation lane for researched content. It keeps evidence, writing, packaging, and external delivery distinct so an operator can inspect one concrete artifact and no local success is mistaken for publication.
Use it for articles, updates, newsletters, explainers, and other channel-bound content whose substantive claims need traceable support. The result should do something for the reader—clarify a decision, explain a change, establish trust, or enable a concrete next step—not merely prove that research happened.
Composes
ghostwrite#draftghostwrite#handoffghostwrite#packageresearch#research
How the chain works
- The caller provides the objective, audience, channel, and governed source
packets. Usually those packets come from
web-fetchor a provider reader. researchadmits the sources, verifies citations, and decides whether the evidence supports a useful deliverable.ghostwritedrafts only from the admitted claims and digests, applying any supplied voice or operator context without treating it as factual evidence.- The validated draft is packaged deterministically for the declared channel.
- A provider-neutral handoff records the target and approval requirement. The lane stops before external delivery.
Local research, drafting, and packaging require no approval. A later provider skill owns the consequential gate, idempotency, send or publish request, acknowledgement, and readback.
Inputs and result
objectivestates what the content should change for its reader.source_packetscontain bounded governed evidence.audience,channel, anddomainshape the artifact.operator_contextandtarget_entitiesnarrow interpretation but are not source evidence.publication_target,boundary_kind, andapproval_contextprepare the next lane; they do not authorize it.
What ships with it
1 file 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.
- 9d ago First seen · 75 lines · 26 tokens per session scan A 2f37f66a7062
content-pipeline is a skill published in the GitHub repository runxhq/runx (84 stars, last pushed today), licensed Apache-2.0. It adds 26 tokens to every session and 685 once invoked, about $0.0001 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 2026-08-30.
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dd-verification
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codew-release-qa-sweep
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