context-anchoring SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
context-anchoring from techygarg/lattice is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add techygarg/lattice/context-anchoring@git:20260903.83fa756Pins git:20260903.83fa756 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- techygarg/lattice
- Path
source/atoms/context-anchoring/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260903.83fa756, committed Sep 3, 2026
- Size
- 11,667 bytes
- Repository stars
- 206
- License
- MIT
Manage per-feature living documents that capture decisions, constraints, and reasoning across AI sessions during active development. Scoped to feature-level work — design, implementation, bugfix, refactor — not for codebase-wide assessments or product-wide specifications (those define their own document lifecycles). Handles creating new context documents, loading existing ones, and enriching them with new decisions. Use when starting a new feature, resuming work, making technical decisions…
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
# Context Anchoring ## Scope > Feature-level only — anchors decisions as a feature flows from design → implementation → bugfix → refactor. ## Config Resolution This skill manages a directory of per-feature context docs. Resolution order: 1. Read `.lattice/config.yaml` in the repo root. 2. If found and `paths.context_base` is set → use that directory as the context base (the Create behavior creates it on demand). 3. If there is no config file or no `paths.context_base` key → use the default `.lattice/context/`. Each feature gets one doc at `<context_base>/<feature-name>.md`. No default principles, no overlay modes, no override files -- just a thin template and per-feature docs that grow through enrichment. ## Why Context Anchors Exist AI has no persistent memory across sessions. Early decisions get contradicted, naming drifts, and the "why" evaporates -- a forgotten decision becomes a potential contradiction, a lost constraint becomes a violation, an unresolved question becomes a silent assumption. Context anchor docs prevent this by being: - **Feature-bound** -- one doc per feature, scoped decisions only …
Read the whole file at its exact version.
How to install
mdr add techygarg/lattice/context-anchoring@sha256:df2187d3c96bff44The line at the top of this page pins the label git:20260903.83fa756, 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_elqkzweitknlr4fb)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 3, 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 (11667 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
techygarg/lattice · 206 stars · license MIT · pushed 2026-10-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_elqkzweitknlr4fb GET https://markdownregistry.com/api/v1/resolve?ref=techygarg/lattice/context-anchoring GET https://markdownregistry.com/api/v1/blob/df2187d3c96bff44a47e5f795b687aca282b290621cc2c5d392f9ff063a8c0fd
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.
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