meter-accuracy SKILL.md skillA
meter-accuracy from snowflake-labs/cocoplus is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add snowflake-labs/cocoplus/meter-accuracy@v1.0.3Pins v1.0.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- snowflake-labs/cocoplus
- Path
.cortex/skills/cocometer/meter-accuracy/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.3, committed Sep 30, 2026
- Size
- 2,319 bytes
- Repository stars
- 728
- License
- MIT
CocoMeter accuracy learning — displays estimation history, current adjustment factor, sample size, and trend from the accuracy learning feedback loop. Usage: $meter accuracy.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
Your objective is to display CocoMeter's estimation accuracy learning data.
Before proceeding, verify that `.cocoplus/` exists.
If not: output "CocoPlus not initialized in this directory. Run `$pod init` to begin." Then stop.
## Read Accuracy Data
Read `.cocoplus/meter/accuracy-history.jsonl` — each line is a session record:
```json
{ "session_id": "...", "estimated_tokens": N, "actual_tokens": N, "estimated_credits": N, "actual_credits": N, "ratio": N, "timestamp": "..." }
```
If the file does not exist or has fewer than 2 entries: output "Not enough sessions to compute calibration factor. Run at least 2 complete sessions with pre-flight estimates to begin accuracy learning." Then stop.
Read `.cocoplus/meter/adjustment-factor.json`:
```json
{ "factor": N, "sample_size": N, "computed_at": "..." }
```
## Compute Trend
From the last 5 session ratios in `accuracy-history.jsonl`:
- If max − min < 0.1: trend = "Stable"
- If last ratio > first ratio by >0.1: trend = "Increasing"
- If last ratio < first ratio by >0.1: trend = "Decreasing"
## Output
```
CocoMeter Accuracy Learning
Adjustment Factor: [factor]x (from [sample_size] sessions)
…Read the whole file at its exact version.
How to install
mdr add snowflake-labs/cocoplus/meter-accuracy@sha256:ab0795a25d8a16a7The line at the top of this page pins the label v1.0.3, 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_hbkuf6jckmsrgofm)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 30, 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 (2319 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
snowflake-labs/cocoplus · 728 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hbkuf6jckmsrgofm GET https://markdownregistry.com/api/v1/resolve?ref=snowflake-labs/cocoplus/meter-accuracy GET https://markdownregistry.com/api/v1/blob/ab0795a25d8a16a728e7c500c387e17d1ce1133b6dac51f8bdf550c21d6fec0a
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.