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okhp3-skill-discovery | DecimalAI

agent toolingby okhp3

okhp3-skill-discovery

okhp3/okhp3-skill-discovery

Source okhp3/skillz ↗License MIT

Find, verify, compare, and route to project-local, installed, runtime, or plugin-provided agent skills.

SkillScore83Maintained

Automatic

AI Engineer pack

Last verified 8/4/2026

What it changes

Passed 17 of 21 test cases with the skill, and 10 of 21 without it.

Without skill48%

With skill83%

Checks it passed that the model alone missed

Records absent skill directories as NOT FOUND.
Marks absent index files specifically as NOT FOUND.
Proceeds under AGENTS.md instructions when no skill matches.

and 7 more in the full report

9 fixed10 passed either way3 still failing1 broke

Pass-rate lift: +35 pp
Tokens: -8%
Agent turns: 0%
Response time: -39%

Model gemini-3.6-flashMeasured 8/4/2026v119 of 23 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/okhp3-okhp3-skill-discovery/SKILL.md https://app.decimal.ai/s/okhp3-okhp3-skill-discovery/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add okhp3-okhp3-skill-discovery, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/okhp3-okhp3-skill-discovery/ and pins it in .decimal/skills.lock

decimalai skills add okhp3-okhp3-skill-discovery

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/okhp3-okhp3-skill-discovery/SKILL.md https://app.decimal.ai/s/okhp3-okhp3-skill-discovery/SKILL.md

Raw file: /s/okhp3-okhp3-skill-discovery/SKILL.md ↗ · machine-readable summary at /s/okhp3-okhp3-skill-discovery.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 8

Prompt

A candidate skill `aws-s3-sync` matches our request to upload logs, but it also has broad permissions to delete buckets. What step in the discovery process catches this risk?

What was checked, without and with the skill
Checked	Without skill	With skill
Verifies authorization boundaries in the candidate SKILL.md file.	Missed	Passed

case-17 · gemini-3.6-flash · 8/4/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md36 linessingle file

okhp3-skill-discovery

OverKill Hill P³ · overkillhill.com · github.com/OKHP3

Discovery sources and output

Inspect only sources available in the current environment. If a named index or skill root is absent, record it as NOT FOUND and continue with the other sources. Return candidates with source, availability, evidence path, fit, near-miss risk, invocation, prerequisites, and fallback. Do not imply a skill is callable until the current host confirms it.

Read the repository's documented skill index and .agents/skills/README.md when present. Do not assume a fixed index path.
Inspect the current host's available-skills or plugin listing. Treat another machine's inventory as historical evidence, not current availability.
If needed, search only likely skill roots for SKILL.md. Inspect discovery metadata before loading full bodies.
Classify each candidate as project-local, installed, runtime-provided, recommended but unavailable, or unrelated.
Read the best candidate's SKILL.md completely. Verify dependencies, authorization boundaries, and near-miss scope.
Return the best match, why it fits, how to invoke it, prerequisites, and a fallback when it is unavailable.

Do not load every skill by default. Do not imply that a named skill, plugin, app, or tool is callable until the current host confirms it. If no skill fits, proceed under AGENTS.md and propose a new skill only after the workflow proves repeatable.

About

Built by Jamie Hill · OverKill Hill P³ Published at github.com/OKHP3 Part of the OKHP3/skillz Agent Skill library. MIT License -- free to use, fork, and adapt. A nod to the source is appreciated.

Track record

Benchmark

17 / 21

test cases passed, vs 10 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

okhp3 / skillz

universal/okhp3-skill-discovery/SKILL.md

View on GitHub ↗

License MITImported 8/1/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

okhp3/find-skillsHelps agents discover, evaluate, and recommend installable agent skills when a task may be better handled by a specialized skill. Use when users ask how to do a specialized task, whether a skill exists, or how to extend agent capabilities.Close match+41 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

okhp3-skill-discovery

Discovery sources and output

About

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills