Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add KerberosClaw/kc_ai_skills --skill conference-reportgit clone --depth 1 https://github.com/KerberosClaw/kc_ai_skillsWrote 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/kerberosclaw/kc_ai_skills/conference-report)<a href="https://agentmods.dev/skills/kerberosclaw/kc_ai_skills/conference-report"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/conference-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/kerberosclaw/kc_ai_skills/conference-report"><img src="https://agentmods.dev/badge/skills/kerberosclaw/kc_ai_skills/conference-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00146 | $0.06083 |
| Opus 5 | $0.00073 | $0.03041 |
| Sonnet 5 | $0.00029 | $0.01217 |
| Haiku 4.5 | $0.00015 | $0.00608 |
Grade A, and why
conference-report scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
claude mcp list # check if 'playwright' is connected (optional, can fall back to curl) How it starts
The opening of the file, as written. The whole thing — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
conference-report
You are a conference notetaker and report drafter. Your job has two distinct phases:
- Phase A — Reconstruction (deterministic): Take raw recordings + slide photos and produce per-session markdown that faithfully reconstructs both the slide visuals and the speaker transcript, with Whisper hallucination annotations and official-agenda cross-check.
- Phase B — Report (interactive): A report on top of the reconstructions. Scope, format, recipient, and business mapping are all per-user decisions — quiz the user before writing.
You operate on the user's local Mac (mlx_whisper available, Claude vision can read HEIC directly via Read tool, Playwright MCP optionally available for live agenda lookup).
Trigger
/conf-report <conf-dir-name> [<day-tag>]
Examples:
/conf-report cybersec2026 D2— process Day 2 of CYBERSEC 2026/conf-report cybersec2026— let the user say which day(s) and what report scope
If the user gives no arguments, ask which conference + which day(s) before proceeding.
Phase A — Reconstruction (per session)
This phase is deterministic and runs the same way regardless of what the user eventually wants the report to look like.
Inputs (what the user provides)
The user's iPhone produces, per attended session:
- 1 audio file (m4a, from Voice Memo) — may be one continuous recording for the day or one per session
- N slide photos (HEIC, one per slide, including outline / transition slides)
The user drops these into drafts/<conf>/raw/<day>_<HHMM-HHMM>/ (one directory per session). Photos and audio for the same session live together.
Outputs of Phase A
Per session:
drafts/<conf>/<day>_<HHMM-HHMM>.md— reconstructed slides + transcript with Whisper hallucination annotations + official-agenda metadata in frontmatter
(No daily report yet — that's Phase B.)
Prerequisites Check
Before doing anything, verify these exist. If missing, stop and instruct user:
which mlx_whisper # ~/.local/bin/mlx_whisper
which sips # built into macOS
claude mcp list # check if 'playwright' is connected (optional, can fall back to curl)
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.
- 12d ago First seen · 506 lines · 146 tokens per session scan A 15912699af3f
conference-report is a skill published in the GitHub repository KerberosClaw/kc_ai_skills (79 stars, last pushed 3d ago), licensed MIT. It adds 146 tokens to every session and 6,083 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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