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 Elumenotion/GuideAnts --skill session-ingestion-scriptinggit clone --depth 1 https://github.com/Elumenotion/GuideAntsWrote 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/elumenotion/guideants/session-ingestion-scripting)<a href="https://agentmods.dev/skills/elumenotion/guideants/session-ingestion-scripting"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/session-ingestion-scripting.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.01343 |
| Opus 5 | $0.00031 | $0.00672 |
| Sonnet 5 | $0.00012 | $0.00269 |
| Haiku 4.5 | $0.00006 | $0.00134 |
Grade A, and why
session-ingestion-scripting 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 4d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
session-ingestion-scripting
Paths — fixed layout, do not probe or re-derive. The sandbox CWD is the
notebook's output directory. This skill's scripts live under
Skills/<skill>/scripts/ relative to it, so run the commands in this file
exactly as written. Write every deliverable to the CWD with a bare filename
(e.g. -o clip, -o scene.wav): never prefix an output path with Output/ —
the CWD is the output directory, so Output/… would create a nested
Output/ folder.
First step of the video-production pipeline: take a browser-session-capture
session (a folder or .zip: video.mp4, narration*.wav, index.json,
checkpoints/, event JSONLs, verified edit_map.json) and produce
- a context report (what was captured, what happened, which audio to use),
- a timed transcript of the narration (delegated to
audiocpp-timed-transcript), and - a TTS-ready script — the story the user told, in their words and order, cleaned for the TTS engine, with a full audit trail.
The scripting half is a human-in-the-loop editing job. The governing
contract is references/tts-editor-brief.md — read it before drafting and
treat it as binding. Its first rule: when in doubt, ask; do not draft on a
guess. The transcript does not define what the story is; the user does.
Phase 1 — Ingest & report
python3 Skills/session-ingestion-scripting/scripts/session_report.py \
<session-folder-or-zip> [-o report.md] [--json report.json]
- Stdlib only; read-only on session data. If given a
.zip, pass--extract-dir DIRto unpack first (safe-extract: rejects path traversal). - The report covers: identity/host/monitor/duration, media (video + narration
candidates with sizes), verified compaction (
edit_map.json), idle stats, checkpoint timeline (tab/URL/title/trigger), event kind counts, foreground window intervals, and which checkpoints carry text/screenshot/mhtml. - Report the bottom line to the user in a few lines: what the session is, what the narration covers, which WAV to transcribe. Then ask the Phase-2 question.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 116 lines · 62 tokens per session scan A a0d98bae091e
session-ingestion-scripting is a skill published in the GitHub repository Elumenotion/GuideAnts (57 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 1,343 once invoked, about $0.0003 per session on Opus 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 2026-09-03.
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