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-episode-completion/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-episode-completion)<a href="https://agentmods.dev/skills/norton77930/corpus-ingest-core/corpus-episode-completion"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/corpus-episode-completion/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-episode-completion"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/corpus-episode-completion.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 | $0.00016 | $0.00270 |
| Opus 5.5 | $0.00006 | $0.00108 |
| Sonnet 5.5 | $0.00003 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
corpus-episode-completion 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
Corpus Episode Completion
Use the mounted MCP tool to advance one podcast episode safely. Keep the human in control: one preview, one explicit approval, one matching action, then stop.
Procedure
- Call
run_corpus_episode_completion_workflowwithaction=nextandconfirm=false. - Explain the canonical episode reference, selected action, planned reads, planned writes, blockers, and network, local-compute, transcript-transfer, and API-cost risks.
- Ask one explicit approval question and wait for the answer.
- Treat absent, ambiguous, conditional, or negative replies as no approval.
- After explicit approval, call the same MCP tool with the canonical episode reference, exact selected executable action, and
confirm=true. - For
semantic_summary, include the acknowledgement only after the human explicitly provides the exact acknowledgement text. Do not synthesize, shorten, or substitute it. - Report the bounded result and stop. Do not start another preview or action unless the user makes a new request.
If the MCP tool is unavailable, report a setup problem. Do not use a terminal, CLI, another side-effect tool, cron/scheduler, retry, or autonomous loop as a fallback.
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 · -9 tokens per session e598fbd6e160
- 2mo ago First seen · 22 lines · 25 tokens per session scan A eb8eeeb72cac
corpus-episode-completion is a skill published in the GitHub repository norton77930/corpus-ingest-core (2 stars, last pushed 29d ago), licensed MIT. It adds 16 tokens to every session and 270 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-episode-completion compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| corpus-episode-completionnorton77930/corpus-ingest-core | Skill | 2 | 29d ago | MIT | A | 16 | 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 |