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/assets/archon/commands/citation-authority-select.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/commands/thesmokedev/taskchad-os/citation-authority-select)<a href="https://agentmods.dev/commands/thesmokedev/taskchad-os/citation-authority-select"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/citation-authority-select/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/commands/thesmokedev/taskchad-os/citation-authority-select"><img src="https://agentmods.dev/badge/commands/thesmokedev/taskchad-os/citation-authority-select.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 | $0.00012 | $0.00649 |
| Opus 5 | $0.00006 | $0.00324 |
| Sonnet 5 | $0.00002 | $0.00130 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
citation-authority-select 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Select the authority wave
Create the exact bounded write plan. Do not edit site content, research new queries, publish, deploy, or use a Reddit account.
Inputs
Read:
.citation-authority/run-config.json.citation-authority/site-profile.json.citation-authority/evidence-packet.json.citation-authority/evidence-validation.json- the optional fleet intent map
- existing pages in and around the configured content sink
Only validated receipt IDs are eligible. Select between one and max_pages
targets, with an absolute maximum of three. If the evidence validation says
no_evidence, write a no-op plan with status: no_evidence and no targets.
Selection rules
- Prefer buyer intent, an observable query-to-page mismatch, an exposed SERP slot, or a measured outlier. Do not select on intuition alone.
- Stay inside the modes enabled by
run-config.json:reddit_modifier,direct_answer, andcomparison. - Exact query text must appear in the title. The normalized exact query is the slug. Do not add a year unless a receipt contains year-stamped demand.
- Reddit mode requires
redditin query/title and a real Reddit discussion in sources. It never claims Reddit endorses the site. - Direct-answer pages should answer a real
who helps, eligibility, process, or problem-resolution query. Comparison pages must compare criteria and tradeoffs without inventing competitor prices, policies, or outcomes. - Read existing content and the fleet map. Reject same-site cannibalization and cross-property intent collisions.
- Give every target a genuinely different H2 structure. Reordered template headings are not different.
- Use at least two real source URLs. On a regulated profile, include a source
from one of
regulated.authoritative_source_domainsand obey the claims policy exactly. - Include at least two internal links, one of which is a configured service hub. The final rendered gate also requires a service hub to link back.
- Write two complete direct-answer sentences that can be used verbatim as the opening paragraph. Make them accurate, concise, and AI-citable.
- Write a transparent brand-role passage. It may explain who the brand helps and how, but cannot create testimonials, rankings, licenses, outcomes, or customer counts.
- Spanish targets are original Spanish from query through headings and CTA. Use the site's root route pattern and native conversion vocabulary.
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 · 65 lines · 12 tokens per session scan A d2b333652904
citation-authority-select is a command published in the GitHub repository TheSmokeDev/taskchad-os (23 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 649 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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