Borrowing it
Nothing to install: this file belongs to TheSmokeDev/taskchad-os. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TheSmokeDev/taskchad-os/master/.claude/skills/ai-citation-authority-wave/SKILL.mdgit clone --depth 1 https://github.com/TheSmokeDev/taskchad-osWrote 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/thesmokedev/taskchad-os/ai-citation-authority-wave)<a href="https://agentmods.dev/skills/thesmokedev/taskchad-os/ai-citation-authority-wave"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/ai-citation-authority-wave/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/thesmokedev/taskchad-os/ai-citation-authority-wave"><img src="https://agentmods.dev/badge/skills/thesmokedev/taskchad-os/ai-citation-authority-wave.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.01131 |
| Opus 5 | $0.00035 | $0.00566 |
| Sonnet 5 | $0.00014 | $0.00226 |
| Haiku 4.5 | $0.00007 | $0.00113 |
Grade A, and why
ai-citation-authority-wave 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 11d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Citation Authority Wave
Use this skill for small editorial authority waves that target recommendation, comparison, direct-answer, or Reddit-modifier searches. It is a sibling of the TokenMax factory, not a TokenMax page family.
Stack Position
Run this skill only after the site has a proven content/render contract and is
production-ready. tokenmax-site-factory owns site discovery and mass-page
validation; tokenmax-fleet-orchestrator may own the site's deployment and
production proof. This workflow owns a separate evidence-backed wave of one to
three editorial pages and stops at a checksummed deploy handoff.
Never place this workflow inside a TokenMax batch loop or treat its local handoff
as production. When present, read
docs/manual/features/tokenmax-seo-authority-stack.md for the complete stack
order and handoff contracts.
Operating Boundary
- Generate one to three pages per domain per wave. Reject larger requests.
- Require a current GSC, OpenSEO/keyword-metrics, or documented live SERP receipt for every target.
- Never post to, seed, or automate Reddit accounts. Reddit-modifier pages are owned website pages that synthesize public discussions without implying an endorsement.
- Write English and Spanish pages independently. Never translate one lane into the other.
- Keep every page structurally distinct and source-backed.
- For regulated topics, require authoritative sources and the target site's claims policy. Never invent prices, eligibility, legal conclusions, outcomes, or competitor policies.
- Stop after a validated deploy handoff. The target site's deploy runbook or fleet controller owns production.
Install In A Target Repo
Copy the skill directory into .claude/skills/ai-citation-authority-wave/.
Then copy the bundled workflow and command files into the target repo:
Copy-Item .claude/skills/ai-citation-authority-wave/assets/archon/ai-citation-authority-wave.yaml .archon/workflows/ai-citation-authority-wave.yaml
Copy-Item .claude/skills/ai-citation-authority-wave/assets/archon/commands/citation-authority-*.md .archon/commands/
What ships with it
11 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.
- assets/archon/ai-citation-authority-wave.yaml 5.7 KB
- assets/archon/commands/citation-authority-integrate.md 1.2 KB
- assets/archon/commands/citation-authority-report.md 944 B
- assets/archon/commands/citation-authority-research.md 2.9 KB
- assets/archon/commands/citation-authority-select.md 3.0 KB
- assets/archon/commands/citation-authority-write.md 3.8 KB
- references/candidate-plan.schema.json 3.0 KB
- references/evidence-packet.schema.json 2.3 KB
- references/site-profile.schema.json 4.8 KB
- scripts/citation_authority.py 81 KB runs code
- scripts/tests/test_citation_authority.py 29 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.
- 11d ago First seen · 120 lines · 70 tokens per session scan A 6c2f7ad3d8fd
ai-citation-authority-wave is a skill published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 1,131 once invoked, about $0.0003 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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