Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/SunflowersLwtech/sunkitnpx agentmods add skills/sunflowerslwtech/sunkit/searchpo-full-flowWrote 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/sunflowerslwtech/sunkit/searchpo-full-flow)<a href="https://agentmods.dev/skills/sunflowerslwtech/sunkit/searchpo-full-flow"><img src="https://agentmods.dev/badge/skills/sunflowerslwtech/sunkit/searchpo-full-flow/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/sunflowerslwtech/sunkit/searchpo-full-flow"><img src="https://agentmods.dev/badge/skills/sunflowerslwtech/sunkit/searchpo-full-flow.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 | $0.00074 | $0.01414 |
| Opus 5.5 | $0.00030 | $0.00566 |
| Sonnet 5.5 | $0.00015 | $0.00283 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade A, and why
searchpo-full-flow 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 2mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Searchpo Full Flow
This is the visible skill wrapper for the shared /searchpo-full-flow command. Use searchpo-main-agent as the lead, keep research with searchpo-research-agent, and keep provider/render/publish execution with searchpo-impl-agent.
Agent-Team Requirement
For Codex runs, selecting this skill or writing owner labels into main_task_plan.json is not enough to prove delegation. When the current host exposes a subagent or agent-team runtime, explicitly spawn or assign:
Use the searchpo-main-agent as lead. Do not run research and implementation in parallel. First spawn or assign only searchpo-research-agent for AnySearch-first source discovery/extraction, GitHub API/README evidence, FactBank/TopicBrief, cross-check tasks, and only supporting DeepWiki repo context when useful. Wait until the main agent verifies cross_check_review.status == pass and research_sufficient == true, then spawn or assign searchpo-impl-agent for provider, render, audit, and Douyin tasks. The main agent must not run implementation commands itself; it verifies artifacts and makes the final release decision.
If the host cannot spawn or assign teammates, say that before running the flow, follow the same ownership split manually, and report the run as manual fallback, not as a spawned agent-team run.
When spawned teammates are available, use the phased runtime so each teammate owns a real command boundary:
python3 agent_harness/run_agent_loop.py --topic "topic" --mode provider --stop-after research_enrichment --delegation-mode spawned_subagents --delegation-agent searchpo-research-agent --delegation-proof "<host-subagent-id>"
python3 agent_harness/run_agent_loop.py "<run_dir>" --mode provider --resume-from 4 --stop-after main_task_plan --delegation-mode spawned_subagents --delegation-agent searchpo-main-agent --delegation-proof "<host-subagent-id>"
python3 agent_harness/run_agent_loop.py "<run_dir>" --mode provider --resume-from 5 --delegation-mode spawned_subagents --delegation-agent searchpo-impl-agent --delegation-proof "<host-subagent-id>"
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.
- 2mo ago First seen · 105 lines · 74 tokens per session scan A e345de24c8bd
searchpo-full-flow is a skill published in the GitHub repository SunflowersLwtech/sunkit (13 stars, last pushed today), licensed Apache-2.0. It adds 74 tokens to every session and 1,414 once invoked, about $0.0003 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 2026-08-30.
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