controlling-costs SKILL.md skillA
controlling-costs from openclaw/clawhub is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add openclaw/clawhub/controlling-costs@git:20260709.5d15061Pins git:20260709.5d15061 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- openclaw/clawhub
- Path
.agents/skills/controlling-costs/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260709.5d15061, committed Jul 9, 2026
- Size
- 6,791 bytes
- Repository stars
- 9,544
- License
- MIT
Analyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused columns or field values, identify data waste, or track ingest spend.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Axiom Cost Control
Dashboards, monitors, and waste identification for Axiom usage optimization.
## Before You Start
1. Load required skills:
```
skill: axiom-sre
skill: building-dashboards
```
Building-dashboards provides: `dashboard-list`, `dashboard-get`, `dashboard-create`, `dashboard-update`, `dashboard-delete`
2. Find the audit dataset. Try `axiom-audit` first:
```apl
['axiom-audit']
| where _time > ago(1h)
| summarize count() by action
| where action in ('usageCalculated', 'runAPLQueryCost')
```
- If not found → ask user. Common names: `axiom-audit-logs-view`, `audit-logs`
- If found but no `usageCalculated` events → wrong dataset, ask user
3. Verify `axiom-history` access (required for Phase 4):
```apl
['axiom-history'] | where _time > ago(1h) | take 1
```
If not found, Phase 4 optimization will not work.
4. Confirm with user:
- Deployment name?
- Audit dataset name?
- Contract limit in TB/day? (required for Phase 3 monitors)
5. Replace `<deployment>` and `<audit-dataset>` in all commands below.
**Tips:**
- Run any script with `-h` for full usage
…Read the whole file at its exact version.
How to install
mdr add openclaw/clawhub/controlling-costs@sha256:a0823b1b1581c793The line at the top of this page pins the label git:20260709.5d15061, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_xn4kyuiywf6i6fx2)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 9, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6791 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
openclaw/clawhub · 9,544 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xn4kyuiywf6i6fx2 GET https://markdownregistry.com/api/v1/resolve?ref=openclaw/clawhub/controlling-costs GET https://markdownregistry.com/api/v1/blob/a0823b1b1581c7932855ff68fca3eab72d49bac4a920eae9c6633e837c6204ed
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.