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 DanielT777/sieve --skill address-sieve-reviewgit clone --depth 1 https://github.com/DanielT777/sieveWrote 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/danielt777/sieve/address-sieve-review)<a href="https://agentmods.dev/skills/danielt777/sieve/address-sieve-review"><img src="https://agentmods.dev/badge/skills/danielt777/sieve/address-sieve-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/danielt777/sieve/address-sieve-review"><img src="https://agentmods.dev/badge/skills/danielt777/sieve/address-sieve-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 | $0.00080 | $0.00361 |
| Opus 5 | $0.00040 | $0.00180 |
| Sonnet 5 | $0.00016 | $0.00072 |
| Haiku 4.5 | $0.00008 | $0.00036 |
Grade A, and why
address-sieve-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 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.
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
Address Sieve Review
Load the review
- Resolve the current workspace root with
git rev-parse --show-toplevel; fall back to the current directory outside Git. - Search
~/.sieve/workspaces/*/workspace.jsonand select the entry whoseworkspacePathresolves to that root. - Read the sibling
annotations.jsonfile. If it is absent or has no unresolved annotations, tell the user that no Sieve feedback is waiting. - Treat
startLineandendLineas zero-based.fileUriis the absolute target file. MissingsourceIdmeans current working-tree changes.
Address the feedback
- Process annotations where
resolvedisfalse, oldest first, unless the user narrows the scope. - Inspect the target file and nearby code. Lines may have shifted, so verify context before editing.
- Make the smallest change that addresses the comment. Treat
explainas a question unless a code change is clearly requested, and add tests fortestannotations when applicable. - Run the smallest relevant checks after editing.
- Do not edit files under
~/.sieve; Sieve remains the source of truth and the user resolves annotations there.
Finish with a compact list of annotations addressed, skipped, or needing clarification.
What ships with it
1 file 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.
- 12d ago First seen · 24 lines · 80 tokens per session scan A 48ada68af49c
address-sieve-review is a skill published in the GitHub repository DanielT777/sieve (11 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 361 once invoked, about $0.0004 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 2026-08-30.
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