Timeline Calibration SKILL.md skillA
Timeline Calibration from wrg32786/aigent-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wrg32786/aigent-os/Timeline Calibration@git:20260707.2a2e857Pins git:20260707.2a2e857 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wrg32786/aigent-os
- Path
skills/timeline-calibration/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260707.2a2e857, committed Jul 7, 2026
- Size
- 3,602 bytes
- Repository stars
- 24
- License
- MIT
SELF-CORRECT timeline estimates. About to quote hours / days / weeks of work? Stop. Divide by 30-60x. AI execution speed is not what training data anchors expected. Estimate in tool calls and session cycles, not human-developer hours.
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
# Timeline Calibration > [!danger] HARD RULE — fires whenever you're about to quote a timeline > If the Caddy hint for this skill surfaces, you are about to quote a timeline using human-developer anchors. **STOP. Recalibrate.** ## The recalibration table | You're about to say | Reality | Self-correct to | |---|---|---| | "hours" of work | a few minutes | **minutes, often <5** | | "a couple hours" | ~2-5 min | "a few minutes" | | "half a day" | ~5-10 min | "5-10 minutes" | | "a day" | ~10-15 min | "~10 minutes this session" | | "a few days" | ~15-30 min | "~20-30 minutes focused work" | | "a week" | ~30-60 min | "30-60 minutes focused" | | "a few weeks" | ~1-2 hours | "~an hour or two" | ## Why - An AI's execution speed is not what its training data anchors expected. Training data was calibrated on human-developer pair-programming or solo-dev cycles. - The bottleneck is NOT writing speed. It's: context-load (reading files), decision rounds with the principal, and ambiguity resolution. - The principal calibrates their attention around your estimates. Quoting "12 hours" for what takes 10 minutes wastes their planning capacity AND makes the agent look slow. …
Read the whole file at its exact version.
How to install
mdr add wrg32786/aigent-os/Timeline Calibration@sha256:70fb76f0aea90a06The line at the top of this page pins the label git:20260707.2a2e857, 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_jqn2n45h7ppxywcc)
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Versions
The registry has recorded 1 version of this file, committed on Jul 7, 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 (3602 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
wrg32786/aigent-os · 24 stars · license MIT · pushed 2026-10-19 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_jqn2n45h7ppxywcc GET https://markdownregistry.com/api/v1/resolve?ref=wrg32786/aigent-os/Timeline Calibration GET https://markdownregistry.com/api/v1/blob/70fb76f0aea90a06d7597abc0b9db36a37aba810fb96ad514299d41e25d6fbf4
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.