assess-context SKILL.md skillA

assess-context from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pjt222/agent-almanac/assess-context@v1.0

Pins v1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
pjt222/agent-almanac
Path
i18n/caveman-lite/skills/assess-context/SKILL.md
Versions recorded
4
Latest version
v1.0, committed Aug 17, 2026
First version recorded
Apr 19, 2026
Size
22,323 bytes
Repository stars
43
License
MIT

AI context assessment — evaluating problem malleability, mapping structural rigidity versus flexibility, analyzing transformation pressure, and estimating capacity to adapt. Use when a complex task feels stuck and it is unclear whether to push through or pivot, before a significant approach change to assess whether the current reasoning structure can support it, when accumulated workarounds suggest the underlying approach may be wrong, or as a periodic structural health check during extended…

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

# Assess Context

Evaluate the current reasoning context for malleability — identifying which elements are rigid (cannot change), which are flexible (can change cheaply), where transformation pressure is building, and whether the current approach has the capacity to adapt if needed.

## When to Use

- When a complex task feels stuck and it is unclear whether to push through or pivot
- Before a significant approach change to assess whether the current reasoning structure can support it
- When accumulated workarounds suggest the underlying approach may be wrong
- After `heal` or `awareness` has identified drift but the appropriate response (continue, adjust, or rebuild) is unclear
- When context has grown long and it is unclear how much can be preserved versus how much needs to be rebuilt
- Periodic structural health check during extended multi-step tasks

## Inputs

- **Required**: Current task context and reasoning state (available implicitly)
- **Optional**: Specific concern triggering the assessment (e.g., "I keep adding workarounds")
- **Optional**: Proposed pivot direction (what might the approach need to become?)
- **Optional**: Previous assessment results for trend analysis
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pjt222/agent-almanac/assess-context@sha256:8ac2a89047c436a5

The line at the top of this page pins the label v1.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bfrwqnouxbxjadzf.svg)](https://markdownregistry.com/a/art_bfrwqnouxbxjadzf)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 40 days.

versioncommittedcommitsizeaudit
v1.0 latest2026-08-17 a784899 22,323 BA view · diff
v1.02026-06-05 33b561c 22,294 BA view · diff
v1.02026-04-19 a31852a 22,278 BA view · diff
v1.02026-04-19 e334ebd 22,330 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (22323 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

pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bfrwqnouxbxjadzf
GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/assess-context
GET https://markdownregistry.com/api/v1/blob/8ac2a89047c436a5ad5c3e636cd72098df97d4b2d2275a6699db43b4ab99d17a

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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