Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add jscraik/Agent-Skills --skill skill-buildergit clone --depth 1 https://github.com/jscraik/Agent-SkillsWrote 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.
[](https://agentmods.dev/skills/jscraik/agent-skills/skill-builder)<a href="https://agentmods.dev/skills/jscraik/agent-skills/skill-builder"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skill-builder/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.
<a href="https://agentmods.dev/skills/jscraik/agent-skills/skill-builder"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skill-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00087 | $0.02174 |
| Opus 5.5 | $0.00035 | $0.00870 |
| Sonnet 5.5 | $0.00017 | $0.00435 |
| Haiku 4.5 | $0.00009 | $0.00217 |
Grade A, and why
skill-builder 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Builder
Repair one failing skill gate at a time. Preserve the artifact, command, baseline, failed contract, patch, and rerun evidence for every repair.
When To Use
Use for SKILL.md repair, skill eval hardening, release proof, Tessl score improvement, reference quality fixes, and plugin-skill readiness work.
Inputs
- Canonical skill source path, failing gate or score, allowed edit scope, and required validation command.
- Baseline package, audit, eval, Tessl, or review receipt when a score or gate is being improved.
- Factory gate answers from references/repair-policy.md before create, harden, refactor, skillify, plugin, hook, or package-design work.
- Redact secrets and sensitive data by default in prompts, outputs, temporary evidence, copied artifacts, and review notes.
- For unsafe requests, return Safety Verdict: safety constraints intact; refusing unsafe request.
- Classify the request as audit, repair, validation-only, or promotion before requesting inputs. Audit requires a target or bounded collection, not a failing score or edit authority. Ask only for information needed by the selected mode. Confirm canonical ownership before edits.
Outputs
- Exact validation commands and pass, fail, or blocked outcomes.
- Changed files, rollback path, and evidence artifact locations.
- For audit, report findings, source references, coverage gaps, and proposed edits. Changed files and rollback evidence are not applicable without edits.
- For blocked release-eval cases, the failed repair-policy item in blocker_notes.
- Lane-separated readiness summary covering SDK, OSS, Tessl, runtime, registry, and publication truth only when those lanes have current evidence.
- Schema-bound outputs include schema_version and preserve the validation command that produced the result.
Workflow
- Identify the requested mode, target, canonical owner, and authority.
- For audit, inspect the source and relevant references before returning evidence-backed findings and coverage gaps without edits. For validation-only work, run only authorized checks and report their results. Stop after the requested deliverable is satisfied, not merely after selecting its mode.
- For repair, read references/repair-policy.md. Load the full promotion ladder only when promotion or SDK/Tessl handoff is explicitly selected. Handoff and rollback requests authorize only their named actions, not a fresh repair.
- Run the focused gate; record baseline score, artifact path, and first blocker.
- Apply one Repair Map change from references/repair-policy.md, then rerun the same gate.
- If score or blocker is flat, undo or narrow and try the next map item. After three flat loops, stop with blocker_notes.
- On green, run final gates. If any fail, name the gate and next patch target; do not claim release readiness.
What ships with it
26 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 168 B
- references/benchmark-policy.json 269 B
- references/contract.schema.yaml 515 B
- references/contract.yaml 6.8 KB
- references/discovery-interview.md 1.1 KB
- references/eval-enforcement-contract.md 5.2 KB
- references/evals.schema.yaml 3.5 KB
- references/evals.yaml 18 KB
- references/generated-artifact-policy.md 874 B
- references/package-specific-repairs.md 576 B
- references/repair-examples.md 934 B
- references/repair-policy.md 5.1 KB
- references/repo-local-audit-boundaries.md 1.5 KB
- references/skill-quality-baseline.json 3.1 KB
- references/task-profile.json 1.4 KB
- scripts/analyze_skill.py 756 B runs code
- scripts/openclaw_skill_guard.py 454 B runs code
- scripts/quick_validate.py 757 B runs code
- scripts/run_repo_skill_quality.py 440 B runs code
- scripts/run_skill_evals.py 394 B runs code
- scripts/skill_gate.py 512 B runs code
- scripts/skill_router_schema.py 183 B runs code
- scripts/skill_router.py 587 B runs code
- scripts/test_skill_gate.py 2.6 KB runs code
- scripts/upgrade_skill.py 392 B runs code
- scripts/validate_skill_graph_profiles.py 665 B runs code
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.
- 1mo ago Changed · +10 lines cd4a514794a0
- 1mo ago First seen · 189 lines · 87 tokens per session scan A deb3621b3377
skill-builder is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed yesterday), licensed Apache-2.0. It adds 87 tokens to every session and 2,174 once invoked, about $0.0003 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 2026-09-03.
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