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 anyshift-io/sre-skills --skill s3-estate-calibration-auditorgit clone --depth 1 https://github.com/anyshift-io/sre-skillsWrote 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/anyshift-io/sre-skills/s3-estate-calibration-auditor)<a href="https://agentmods.dev/skills/anyshift-io/sre-skills/s3-estate-calibration-auditor"><img src="https://agentmods.dev/badge/skills/anyshift-io/sre-skills/s3-estate-calibration-auditor/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/anyshift-io/sre-skills/s3-estate-calibration-auditor"><img src="https://agentmods.dev/badge/skills/anyshift-io/sre-skills/s3-estate-calibration-auditor.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00293 | $0.05474 |
| Opus 5 | $0.00147 | $0.02737 |
| Sonnet 5 | $0.00059 | $0.01095 |
| Haiku 4.5 | $0.00029 | $0.00547 |
Grade A, and why
s3-estate-calibration-auditor 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.
How it starts
The opening of the file, as written. The whole thing — 348 lines — stays where its author put it; the contents beside it link to each section on GitHub.
s3-estate-calibration-auditor
Effective-exposure audit skill for an estate of AWS S3 buckets. Takes the config layers
for every bucket in the estate (public-access-block.json, bucket-policy.json,
bucket-acl.json, and access-points.json where present), resolves each bucket's
effective verdict by composing all four layers, then answers one question a per-layer
read cannot: across 8-12 buckets that mostly READ as exposed, which one is genuinely
live, and is the estate otherwise clean. It returns the live bucket as the headline,
ranked by severity, with a fix, then names exactly where the bucket configs stop being
able to answer the question.
Effective S3 exposure is a join across four layers that each get read wrong one at a time. A public-looking bucket policy is inert under RestrictPublicBuckets; a cross-account grant survives BPA-all-on; a public-group ACL is dead under IgnorePublicAcls but a cross-account canonical user beside it is not; a clean bucket can still be public through an access point. In an estate, the trap doubles: several buckets carry a Principal '*' policy, an AllUsers ACL, or a wide-open look that is genuinely neutralised, and exactly one bucket carries a real live grant that reads just like its neutralised siblings. This skill composes the layers per bucket instead of clearing each layer in isolation, then calibrates the estate: it does not over-flag the neutralised baits, and it does not miss the buried needle.
When to invoke
- An agent is asked to review an S3 bucket fleet for public exposure, cross-account access, or "is anything in this account public."
- An estate is being shipped or changed and the question is whether any bucket is effectively exposed, not just whether a Principal '*' or an AllUsers grant appears somewhere in the configs.
- An estate looks exposed (several Principal '*' policies, AllUsers ACLs) and the claim "but BPA is on / it is scoped" needs to be confirmed against the effective verdict rather than taken on trust.
- An estate looks locked down (BPA all on everywhere) and the claim "the account is closed" needs to be checked against the cross-account grants BPA does not touch.
What ships with it
60 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.
- FAILURE_MODES.md 7.5 KB
- fixtures/01-media-platform-clean/01-acme-media-thumbnails/bucket-acl.json 531 B
- fixtures/01-media-platform-clean/01-acme-media-thumbnails/meta.json 127 B
- fixtures/01-media-platform-clean/01-acme-media-thumbnails/public-access-block.json 121 B
- fixtures/01-media-platform-clean/02-acme-media-origin/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/02-acme-media-origin/bucket-policy.json 266 B
- fixtures/01-media-platform-clean/02-acme-media-origin/meta.json 129 B
- fixtures/01-media-platform-clean/02-acme-media-origin/public-access-block.json 120 B
- fixtures/01-media-platform-clean/03-acme-media-shared-config/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/03-acme-media-shared-config/bucket-policy.json 451 B
- fixtures/01-media-platform-clean/03-acme-media-shared-config/meta.json 127 B
- fixtures/01-media-platform-clean/03-acme-media-shared-config/public-access-block.json 119 B
- fixtures/01-media-platform-clean/04-acme-media-uploads/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/04-acme-media-uploads/meta.json 103 B
- fixtures/01-media-platform-clean/04-acme-media-uploads/public-access-block.json 119 B
- fixtures/01-media-platform-clean/05-acme-media-transcode-tmp/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/05-acme-media-transcode-tmp/meta.json 85 B
- fixtures/01-media-platform-clean/05-acme-media-transcode-tmp/public-access-block.json 119 B
- fixtures/01-media-platform-clean/06-acme-media-cdn-logs/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/06-acme-media-cdn-logs/bucket-policy.json 378 B
- fixtures/01-media-platform-clean/06-acme-media-cdn-logs/meta.json 102 B
- fixtures/01-media-platform-clean/06-acme-media-cdn-logs/public-access-block.json 119 B
- fixtures/01-media-platform-clean/07-acme-media-office-exports/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/07-acme-media-office-exports/bucket-policy.json 433 B
- fixtures/01-media-platform-clean/07-acme-media-office-exports/meta.json 138 B
- fixtures/01-media-platform-clean/07-acme-media-office-exports/public-access-block.json 121 B
- fixtures/01-media-platform-clean/08-acme-media-delivery-ap/access-points.json 725 B
- fixtures/01-media-platform-clean/08-acme-media-delivery-ap/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/08-acme-media-delivery-ap/meta.json 141 B
- fixtures/01-media-platform-clean/08-acme-media-delivery-ap/public-access-block.json 119 B
- fixtures/01-media-platform-clean/09-acme-media-archive/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/09-acme-media-archive/meta.json 72 B
- fixtures/01-media-platform-clean/09-acme-media-archive/public-access-block.json 119 B
- fixtures/01-media-platform-clean/10-acme-media-staging/bucket-acl.json 373 B
- fixtures/01-media-platform-clean/10-acme-media-staging/meta.json 102 B
- fixtures/01-media-platform-clean/10-acme-media-staging/public-access-block.json 120 B
- fixtures/01-media-platform-clean/meta.json 376 B
- fixtures/02-data-lake-clean/01-acme-lake-raw/bucket-acl.json 373 B
- fixtures/02-data-lake-clean/01-acme-lake-raw/meta.json 59 B
- fixtures/02-data-lake-clean/01-acme-lake-raw/public-access-block.json 119 B
- fixtures/02-data-lake-clean/02-acme-lake-curated/bucket-acl.json 373 B
- fixtures/02-data-lake-clean/02-acme-lake-curated/bucket-policy.json 497 B
- fixtures/02-data-lake-clean/02-acme-lake-curated/meta.json 122 B
- fixtures/02-data-lake-clean/02-acme-lake-curated/public-access-block.json 119 B
- fixtures/02-data-lake-clean/03-acme-lake-glue-scripts/bucket-acl.json 373 B
- fixtures/02-data-lake-clean/03-acme-lake-glue-scripts/meta.json 68 B
- fixtures/02-data-lake-clean/03-acme-lake-glue-scripts/public-access-block.json 119 B
- fixtures/02-data-lake-clean/04-acme-lake-athena-results/bucket-acl.json 373 B
- fixtures/02-data-lake-clean/04-acme-lake-athena-results/bucket-policy.json 270 B
- fixtures/02-data-lake-clean/04-acme-lake-athena-results/meta.json 136 B
- fixtures/02-data-lake-clean/04-acme-lake-athena-results/public-access-block.json 120 B
- fixtures/02-data-lake-clean/05-acme-lake-emr-logs/bucket-acl.json 373 B
- fixtures/02-data-lake-clean/05-acme-lake-emr-logs/bucket-policy.json 376 B
- fixtures/02-data-lake-clean/05-acme-lake-emr-logs/meta.json 76 B
- fixtures/02-data-lake-clean/05-acme-lake-emr-logs/public-access-block.json 119 B
- fixtures/02-data-lake-clean/06-acme-lake-export/bucket-acl.json 373 B
- fixtures/02-data-lake-clean/06-acme-lake-export/bucket-policy.json 416 B
- fixtures/02-data-lake-clean/06-acme-lake-export/meta.json 119 B
- fixtures/02-data-lake-clean/06-acme-lake-export/public-access-block.json 119 B
- fixtures/02-data-lake-clean/07-acme-lake-quarantine/bucket-acl.json 531 B
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 · 348 lines · 0 tokens per session scan A 0bb14327d060
s3-estate-calibration-auditor is a skill published in the GitHub repository anyshift-io/sre-skills (17 stars, last pushed 15d ago), licensed Apache-2.0. It adds 293 tokens to every session and 5,474 once invoked, about $0.0015 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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