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gaze: Skill for OpenCode

.opencode/skills/learning-systems/SKILL.md

learning-systems is a skill for OpenCode from unbound-force/gaze. It costs 10 tokens per session (291 once invoked), scanned A, original, Apache-2.0.

A system for recording the results of completed coding work and looking up lessons from earlier work. It stores details such as success, duration, files changed, errors, retries, and recurring problems.

In plain words
What is it for?
Use it after work to record outcomes, and before new work to query strategy results, file-specific warnings, and common failure patterns.
Why use it?
Past failures and successful approaches are easy to forget. Recorded outcomes can reveal which strategies work and which files or patterns commonly cause trouble.

Skill for OpenCode

Written for OpenCode: installed under .opencode/.

This is unbound-force/gaze's own configuration. It tells OpenCode how to work on gaze itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gaze configures →

not rated 4repo +1 yesterday A scan 10 tokens original Apache-2.0
View source ↗ unbound-force/gaze
Reuse

Borrowing it

Nothing to install: this file belongs to unbound-force/gaze. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/unbound-force/gaze/main/.opencode/skills/learning-systems/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/unbound-force/gaze

Made for: OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for learning-systems

README.md
[![agentmods](https://agentmods.dev/badge/skills/unbound-force/gaze/learning-systems/github.svg)](https://agentmods.dev/skills/unbound-force/gaze/learning-systems)
Your own site
<a href="https://agentmods.dev/skills/unbound-force/gaze/learning-systems"><img src="https://agentmods.dev/badge/skills/unbound-force/gaze/learning-systems/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for learning-systems

Your own site · 80×15
<a href="https://agentmods.dev/skills/unbound-force/gaze/learning-systems"><img src="https://agentmods.dev/badge/skills/unbound-force/gaze/learning-systems.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 291 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.00291
Opus 5.5 $0.00004 $0.00116
Sonnet 5.5 $0.00002 $0.00058
Haiku 4.5 $0.00001 $0.00029

Measured 2mo ago against content hash 07ef1ff2ed8a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

learning-systems scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.opencode/skills/learning-systems/SKILL.md · 65 lines

What it actually says

Learning Systems

The forge improves over time by recording outcomes and querying insights.

Recording Outcomes

After every forge completion, record the outcome:

forge_record_outcome(
  bead_id="<id>",
  duration_ms=120000,
  success=true,
  strategy="file-based",
  files_touched=["internal/foo/bar.go"],
  error_count=0,
  retry_count=0
)

Querying Insights

Strategy Insights

Which decomposition strategies work best:

forge_get_strategy_insights(task="<task description>")

Returns success rates for file-based, feature-based, and risk-based strategies.

File Insights

Historical gotchas for specific files:

forge_get_file_insights(files=["internal/foo/bar.go"])

Returns past failure patterns, edge cases, and performance traps.

Pattern Insights

Common failure patterns across all forges:

forge_get_pattern_insights()

Returns top 5 most frequent failure patterns with recommendations.

When to Store vs Query

  • Store after completing work: learnings, decisions, gotchas
  • Query before starting work: check if someone solved it before
  • Use hivemind_store for general learnings
  • Use forge_record_outcome for structured forge metrics
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 65 lines · 10 tokens per session scan A 07ef1ff2ed8a

Subscribe to this mod's changes

learning-systems is a skill published in the GitHub repository unbound-force/gaze (4 stars, last pushed yesterday), licensed Apache-2.0. It adds 10 tokens to every session and 291 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Memory and contextforgeinsightslearning
Related

learning-systems compared with skills from other repositories

learning-systems next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
learning-systemsunbound-force/gazeSkill4yesterdayApache-2.0A10OpenCode
cortivex-learnAhmedRaoofuddin/CortivexSkill127mo agononeA18Claude Code, Codex
continuous-learningericrisco/rsc-harnessSkill5032d agoMITA73Claude Code, Codex
Effective Memoryplur-ai/plurSkill312yesterdayApache-2.0A43Claude Code
learnHainrixz/aprende-skillSkill2912d agoMITA52Claude Code
memory-managerchinkan/RustFoxSkill113d agoMITA10Claude Code, Codex
instinct-systembuiphucminhtam/forgewrightSkill495d agononeA38Claude Code