Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/MichelKerkmeester/skilled-agent-harness_spec-driven-loopsnpx agentmods add skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-feature-catalogWrote 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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-feature-catalog)<a href="https://agentmods.dev/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-feature-catalog"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-feature-catalog/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/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-feature-catalog"><img src="https://agentmods.dev/badge/skills/michelkerkmeester/skilled-agent-harness_spec-driven-loops/sk-create-feature-catalog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 8 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00031 | $0.05122 |
| Opus 5 | $0.00015 | $0.02561 |
| Sonnet 5 | $0.00006 | $0.01024 |
| Haiku 4.5 | $0.00003 | $0.00512 |
Grade A, and why
sk-create-feature-catalog 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 8d 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 — 466 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Feature Catalog
create-feature-catalog is the feature-inventory workflow packet of the sk-doc parent hub. It authors canonical current-state catalogs rooted at feature-catalog/feature-catalog.md, with category folders and one per-feature reference file per root catalog entry.
Feature catalogs are the canonical inventory for what a system does today. They organize capabilities by category, summarize current behavior in a root catalog, and link to per-feature files that carry implementation anchors, tests, and metadata.
Core principle: use the root catalog for stable inventory and navigation, and use per-feature files for implementation truth and traceable source anchors.
This packet owns /create:feature-catalog, its references/ set (indexed by references/README.md), and assets/. It consumes shared sk-doc validation and writing standards from ../shared/.
1. WHEN TO USE
Activation Triggers
Use this workflow when the request involves:
- Creating a canonical feature inventory for a skill, system, MCP surface, CLI surface, or documentation family.
- Splitting a large feature surface into a root catalog plus per-feature files.
- Documenting shipped behavior with source-file anchors, validation anchors, and stable feature slugs.
- Creating or updating
feature-catalog/feature-catalog.md. - Creating category folders such as
retrieval/ormutation/. - Creating per-feature files such as
unified-context-retrieval.mdunder category folders. - Linking manual testing playbooks, README summaries, or operator docs back to a stable feature reference.
Keyword triggers: feature catalog, feature inventory, catalog package, per-feature files, source anchors, root catalog, capability inventory, capabilities, /create:feature-catalog.
What ships with it
38 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.
- assets/feature-catalog-snippet-template.md 8.4 KB
- assets/feature-catalog-template.md 11 KB
- changelog/v1.0.0.0.md 1.4 KB
- changelog/v1.0.1.0.md 1.4 KB
- changelog/v1.0.1.1.md 221 B
- changelog/v1.0.1.2.md 1.5 KB
- manual-testing-playbook/catalog-structure/create-root-catalog-package.md 5.8 KB
- manual-testing-playbook/catalog-structure/preserve-root-leaf-bijection.md 5.0 KB
- manual-testing-playbook/manual-testing-playbook.md 5.7 KB
- manual-testing-playbook/scope-and-validation/leave-execution-matrices-to-playbook.md 5.4 KB
- manual-testing-playbook/scope-and-validation/validate-leaf-from-repository-root.md 6.0 KB
- manual-testing-playbook/source-traceability/anchor-feature-in-source-and-tests.md 5.6 KB
- manual-testing-playbook/source-traceability/keep-published-slugs-stable.md 5.3 KB
- README.md 8.6 KB
- references/common-pitfalls.md 6.4 KB
- references/examples.md 8.4 KB
- references/README.md 3.9 KB
- scripts/fixtures/description-parity/negative/feature-catalog.md 155 B
- scripts/fixtures/description-parity/negative/leaf.md 89 B
- scripts/fixtures/description-parity/positive/feature-catalog.md 155 B
- scripts/fixtures/description-parity/positive/leaf.md 86 B
- scripts/fixtures/packet-history/negative/leaf.md 135 B
- scripts/fixtures/packet-history/positive/leaf.md 159 B
- scripts/fixtures/phantom-row/negative/feature-catalog.md 138 B
- scripts/fixtures/phantom-row/positive/feature-catalog.md 155 B
- scripts/fixtures/prose-path/negative/leaf.md 131 B
- scripts/fixtures/prose-path/positive/leaf.md 97 B
- scripts/fixtures/shipped-label/negative/leaf.md 198 B
- scripts/fixtures/shipped-label/positive/leaf.md 242 B
- scripts/fixtures/title-parity/negative/feature-catalog.md 155 B
- scripts/fixtures/title-parity/negative/leaf.md 90 B
- scripts/fixtures/title-parity/positive/feature-catalog.md 155 B
- scripts/fixtures/title-parity/positive/leaf.md 86 B
- scripts/fixtures/volatile-value/negative/leaf.md 80 B
- scripts/fixtures/volatile-value/positive/leaf.md 102 B
- scripts/README.md 2.7 KB
- scripts/tests/test_validator_fixtures.py 8.0 KB runs code
- scripts/validate_catalog_package.py 43 KB 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.
- 8d ago First seen · 466 lines · 31 tokens per session scan A f4ab47733e43
sk-create-feature-catalog is a skill published in the GitHub repository MichelKerkmeester/skilled-agent-harness_spec-driven-loops (35 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 5,122 once invoked, about $0.0002 per session on Opus 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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