forage-resources SKILL.md skillA

forage-resources 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/forage-resources@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/forage-resources/SKILL.md
Versions recorded
4
Latest version
v1.0, committed Aug 17, 2026
First version recorded
Apr 19, 2026
Size
13,118 bytes
Repository stars
43
License
MIT

Apply ant colony optimization and foraging theory to resource search, exploration-exploitation tradeoffs, and distributed discovery. Covers scout deployment, trail reinforcement, diminishing returns detection, and adaptive foraging strategy selection. Use when searching a large solution space where brute-force enumeration is impractical, balancing investment between exploring new approaches and deepening known good ones, optimizing resource allocation across uncertain opportunities, or…

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

# Forage Resources

Apply foraging theory and ant colony optimization to systematically search for, evaluate, and exploit distributed resources — balancing exploration of unknown territory with exploitation of known yields.

## When to Use

- Searching a large solution space where brute-force enumeration is impractical
- Balancing investment between exploring new approaches and deepening known good ones
- Optimizing resource allocation across multiple uncertain opportunities
- Designing search strategies for distributed teams or automated agents
- Diagnosing premature convergence (stuck on local optima) or perpetual wandering (never committing)
- Complementing `coordinate-swarm` with specific resource-discovery patterns

## Inputs

- **Required**: Description of the resource being sought (information, compute, talent, solutions, opportunities)
- **Required**: Description of the search space (size, structure, known features)
- **Optional**: Current search strategy and its failure mode
- **Optional**: Number of available scouts/searchers
- **Optional**: Cost of exploration vs. cost of exploitation failure
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pjt222/agent-almanac/forage-resources@sha256:e2305ceb73b1181f

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_pfdf57pnv4bfzjuq.svg)](https://markdownregistry.com/a/art_pfdf57pnv4bfzjuq)

3 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 13,118 BA view · diff
v1.02026-06-05 33b561c 13,089 BA view · diff
v1.02026-04-24 0b91b04 13,085 BA view · diff
v1.02026-04-19 e334ebd 13,132 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 (13118 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_pfdf57pnv4bfzjuq
GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/forage-resources
GET https://markdownregistry.com/api/v1/blob/e2305ceb73b1181f8320ea3116d233973879af44cf102cb6dd7215d4588a1195

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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