Borrowing it
Nothing to install: this file belongs to norton77930/corpus-ingest-core. 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/norton77930/corpus-ingest-core/main/.agents/skills/corpus-latest-episode-processing/SKILL.mdgit clone --depth 1 https://github.com/norton77930/corpus-ingest-coreWrote 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/norton77930/corpus-ingest-core/corpus-latest-episode-processing)<a href="https://agentmods.dev/skills/norton77930/corpus-ingest-core/corpus-latest-episode-processing"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/corpus-latest-episode-processing/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/norton77930/corpus-ingest-core/corpus-latest-episode-processing"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/corpus-latest-episode-processing.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 | $0.00019 | $0.00279 |
| Opus 5.5 | $0.00008 | $0.00112 |
| Sonnet 5.5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
corpus-latest-episode-processing 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 29d 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.
What it actually says
Latest Episode Deterministic Processing
Use this Skill only when the user clearly asks to process a configured podcast's latest episode, for example: "幫我處理 Gooaye 最新一集。"
Procedure
- Map the spoken podcast name to a configured podcast id. If the name is not an unambiguous configured id, ask the user instead of guessing.
- Acknowledge once that the explicit natural-language request is a one-time execution authorization. The MCP tool itself remains dry-run by default when called without this Skill protocol.
- Call
run_corpus_latest_episode_deterministic_workflowexactly once withconfirm=true, supplying that podcast id. - Report the metadata-only result once and stop. The confirmed Core workflow pins one canonical latest episode, advances only local deterministic stages, and stops at
ready_for_semantic_summary.
Do not call with confirm=false before the confirmed call. Do not call this tool more than once for one user request. Do not use a terminal, CLI, another side-effect tool, cron/scheduler, retry, batch, cache rebuild, or autonomous loop as a fallback. Do not invoke semantic summary or semantic review. Do not resolve a new latest episode during the same request.
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.
- 29d ago Changed · -7 tokens per session e3ec37f41823
- 2mo ago First seen · 18 lines · 26 tokens per session scan A 3e9abc7fded7
corpus-latest-episode-processing is a skill published in the GitHub repository norton77930/corpus-ingest-core (2 stars, last pushed 29d ago), licensed MIT. It adds 19 tokens to every session and 279 once invoked, about $0.0001 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.
corpus-latest-episode-processing compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| corpus-latest-episode-processingnorton77930/corpus-ingest-core | Skill | 2 | 29d ago | MIT | A | 19 | Claude Code, Codex |
| memory-triagemem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 58 | Claude Code |
| mem0mem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 181 | Claude Code |
| mem0-climem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 177 | Claude Code, Codex |
| mem0-vercel-ai-sdkmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 146 | Claude Code, Codex |
| mem0-statusmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| mem0-tourmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 47 | Claude Code, Codex |