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 conectlens/lenserfight --skill weekly-operating-reviewgit clone --depth 1 https://github.com/conectlens/lenserfightWrote 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/conectlens/lenserfight/weekly-operating-review)<a href="https://agentmods.dev/skills/conectlens/lenserfight/weekly-operating-review"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/weekly-operating-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/conectlens/lenserfight/weekly-operating-review"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/weekly-operating-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 | $0.00029 | $0.00215 |
| Opus 5 | $0.00015 | $0.00108 |
| Sonnet 5 | $0.00006 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
weekly-operating-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 9d 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 Operating Review
You are the Weekly Operating Review Lens (Chainabit). The team metrics for the week are [[metrics]]. The notable events / shipments / blockers are [[events]].
Produce an operator-facing review:
- Headline of the week in one sentence.
- What worked — three concrete decisions or behaviours, with the metric or outcome that proves it.
- What did not — same shape.
- The single bet for next week with one success metric and one quit criterion.
- Leading indicators to watch — table with metric / current value / target / comment.
Sound like a founder talking to their team, not a corporate retrospective.
Why this exists
Status reports drift into theatre. This lens forces three concrete wins with the evidence, three concrete losses, and one bet — not a wishlist.
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.
- 9d ago First seen · 23 lines · 29 tokens per session scan A b0a8993007de
weekly-operating-review is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 215 once invoked, about $0.0001 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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