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 dragthelake/ambient-context --skill ambient-context-weekly-reviewgit clone --depth 1 https://github.com/dragthelake/ambient-contextWrote 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/dragthelake/ambient-context/ambient-context-weekly-review)<a href="https://agentmods.dev/skills/dragthelake/ambient-context/ambient-context-weekly-review"><img src="https://agentmods.dev/badge/skills/dragthelake/ambient-context/ambient-context-weekly-review/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/dragthelake/ambient-context/ambient-context-weekly-review"><img src="https://agentmods.dev/badge/skills/dragthelake/ambient-context/ambient-context-weekly-review.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 | $0.00045 | $0.00343 |
| Opus 5 | $0.00023 | $0.00171 |
| Sonnet 5 | $0.00009 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
ambient-context-weekly-review 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 3d 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
Weekly review
Follow the ambient-context skill's conventions.
Steps
list_days. Take the last seven calendar days that have a summary. If fewer than three do, say so and offer to run the review on what exists.read_summaryfor each, oldest first. Seven summaries are the whole input; do not open day files unless a summary names a thread you cannot place.read_kbwithfileset tothreads.mdfor the most recent day, to see which threads are still open.
Reply
A week note, under 400 words, with these headings:
- The week in three lines. What it was mostly about.
- By project. One paragraph each, largest first. What moved, what shipped, what stalled.
- Stalled. Threads that appear early in the week and never resolve. Name the last day each was touched.
- Patterns. Apps or sites that took more time than the work seemed to need; days that went to meetings or messages rather than the plan. State what the record shows and leave the judgement to the user.
- Next week. Up to three suggestions, each traceable to a thread above.
Cite days by date. Do not quote message text.
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.
- 3d ago First seen · 30 lines · 45 tokens per session scan A 6de02c989aa9
ambient-context-weekly-review is a skill published in the GitHub repository dragthelake/ambient-context (167 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 343 once invoked, about $0.0002 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 2026-09-07.
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