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 avmnu-sng/sutra --skill verify-completenessgit clone --depth 1 https://github.com/avmnu-sng/sutraWrote 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/avmnu-sng/sutra/verify-completeness)<a href="https://agentmods.dev/skills/avmnu-sng/sutra/verify-completeness"><img src="https://agentmods.dev/badge/skills/avmnu-sng/sutra/verify-completeness/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/avmnu-sng/sutra/verify-completeness"><img src="https://agentmods.dev/badge/skills/avmnu-sng/sutra/verify-completeness.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 | $0.00048 | $0.00896 |
| Opus 5 | $0.00024 | $0.00448 |
| Sonnet 5 | $0.00010 | $0.00179 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
verify-completeness 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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify completeness
A cleanup or verification pass fails the moment it starts to feel procedural. The instinct "I fixed all instances of X" is exactly where singletons survive: the one match that did not fit the mental pattern, the capitalized variant, the synonym you never searched for. The reliable method is slower per pass and faster to actually-done. Do not summarize-then-apply. Enumerate, tick off each spot individually, and iterate the search until it comes back empty.
When to use
- Removing every occurrence of a token, secret, deprecated API, or debug hook.
- Applying a mechanical fix reported as a list of
file:linefindings. - Any sweep where one survivor is a real defect: security, compliance, a public share, a rename that must be total.
When not to
- A single, known edit at a known location. There is nothing to enumerate.
- Exploratory work where "good enough for now" is an acceptable stopping point.
Procedure
-
Enumerate into atomic checklist items. Turn the search result into one line item per exact spot -- each
file:line, each match, its own box. Do not collapse "12 hits in service A" into a single item. You tick a box only after that specific location is fixed and re-read. Twelve hits means twelve boxes. -
Fix, then re-run the SAME search. After a batch of edits, run the identical comprehensive search again. If it returns anything at all, you are not done -- fix the new items and search again. Repeat until the search returns empty. The empty result, not your sense of having handled it, is the completion signal.
-
Search case-insensitively. A case-sensitive sweep silently skips
Token,TOKEN, andtokenwhen you searched for one form. Pass the ignore-case flag (grep -i,rg -i) by default on cleanup work. -
Expand the pattern as variants surface. Every pass teaches you a new spelling: a hyphen vs underscore, an alias, a wrapper name, a comment form. Add it to the pattern and re-run from the top. The search you finish with is almost never the search you started with.
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 · 77 lines · 48 tokens per session scan A b957e3fff13c
verify-completeness is a skill published in the GitHub repository avmnu-sng/sutra (2 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 896 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 2026-08-31.
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