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implementation-logger skillA

implementation-logger is agent-read markdown (skill) from jellydn/my-ai-tools: Log implementation decisions — tracks deviations from plan and captures rationale.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Implementation Logger

## When to Use

Use this skill **during implementation** when:
- Working on complex or uncertain changes
- The implementation approach isn't fully defined
- You want to track decisions for documentation
- Building knowledge about unknowns for future work
- Need to explain reasoning in PR descriptions

## What It Does

Tracks **deviations from the original plan** and **decision rationale** during implementation. Helps identify where your mental model (map) differed from reality (territory).

## How to Execute

### Step 1: Set Up Logging

At the start of implementation, create a log file:

```bash
# Create implementation log
echo "# Implementation Log: [Feature Name]" > .implementation-log.md
echo "" >> .implementation-log.md
echo "Started: $(date)" >> .implementation-log.md
echo "" >> .implementation-log.md
echo "## Original Plan" >> .implementation-log.md
echo "[Brief summary of approach]" >> .implementation-log.md
echo "" >> .implementation-log.md
echo "## Deviations & Decisions" >> .implementation-log.md
```

### Step 2: Log During Implementation

Whenever reality differs from plan, log it:

```markdown
### [Timestamp] - [Decision Point Title]
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jellydn/my-ai-tools/implementation-logger@git:20260814.d1987f5
Exact content
mdr add jellydn/my-ai-tools/implementation-logger@sha256:d8351690fcab14d4

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260814.d1987f5 latest2026-08-14 d1987f5 11,979 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (11979 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

GitHub

jellydn/my-ai-tools · 121 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gq6tulqmxgl5s7cj
GET https://markdownregistry.com/api/v1/resolve?ref=jellydn/my-ai-tools/implementation-logger
GET https://markdownregistry.com/api/v1/blob/d8351690fcab14d40ae8aab3d539b61e3913da36af98579803faf7215f809774

Your agent 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.

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