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/episode-verified-research-report/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/episode-verified-research-report)<a href="https://agentmods.dev/skills/norton77930/corpus-ingest-core/episode-verified-research-report"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/episode-verified-research-report/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/episode-verified-research-report"><img src="https://agentmods.dev/badge/skills/norton77930/corpus-ingest-core/episode-verified-research-report.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 | $0.00325 |
| Opus 5.5 | $0.00008 | $0.00130 |
| Sonnet 5.5 | $0.00004 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
episode-verified-research-report 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
Episode Verified Research Report
Use this Skill when the user wants a verified research report for a named
episode (including historical EP###), not for “latest only” (use the 018
Skill for latest).
Protocol
- Call
run_episode_verified_research_report_workflowonce withconfirm=false, the operator-suppliedpodcast_id, and exactepisode_ref. Show readiness (ready/blocked), missing/stale roles, and risks. If preview isblocked, list missing/stale roles and stop. Do not inventlatestor substitute another episode. - Ask for and wait for a new explicit approval of that exact
episode_ref(and optionalstock_query/ fixture flag only if the user requested them). There is noapi_cost_ackfor this tool. - Call
run_episode_verified_research_report_workflowexactly once withconfirm=trueand the approvedepisode_ref. - Report the
completed,reused,blocked, or error outcome once and stop.
Do not use CLI or a terminal fallback. Do not retry, schedule, loop, force, partial mode, rebuild cache, call 015/016/017/018, call LLM tools, resolve RSS latest, or provide investment advice. If blocked, list missing roles only; do not auto-chain remediation.
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 · -21 tokens per session 4f7018e1256e
- 2mo ago First seen · 30 lines · 40 tokens per session scan A 2ecbcf76e798
episode-verified-research-report 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 325 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.
episode-verified-research-report compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| episode-verified-research-reportnorton77930/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 |