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 Jamie-BitFlight/claude_skills --skill create-artifactgit clone --depth 1 https://github.com/Jamie-BitFlight/claude_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/jamie-bitflight/claude_skills/create-artifact)<a href="https://agentmods.dev/skills/jamie-bitflight/claude_skills/create-artifact"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/create-artifact/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/jamie-bitflight/claude_skills/create-artifact"><img src="https://agentmods.dev/badge/skills/jamie-bitflight/claude_skills/create-artifact.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 | $0.00084 | $0.01352 |
| Opus 5.5 | $0.00034 | $0.00541 |
| Sonnet 5.5 | $0.00017 | $0.00270 |
| Haiku 4.5 | $0.00008 | $0.00135 |
Grade A, and why
create-artifact 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load dh:dh-cli-usage before using <sam_cli/> or <dh_scripts/>.
Create Artifact
Register your deliverable through the configured content provider with
mcp__plugin_dh_backlog__artifact_register, or use the artifact register CLI subcommand in
scripting contexts. Pass the content in the registration call and return only its logical ID.
Storage boundary
artifact_registerwrites through the selected provider; agents do not choose or access its storage layer.artifact_read(item_id, artifact_type)retrieves the current artifact through the same boundary.- Background agents return the logical ID instead of repeating the document in their completion message.
Invocation
MCP:
mcp__plugin_dh_backlog__artifact_register(
item_id=<int | str>, # Backlog item identifier — REQUIRED
artifact_type=<str>, # Artifact type string — REQUIRED (see table below)
artifact_id=<str>, # Logical identifier — REQUIRED
status="current", # Lifecycle status: draft | current | superseded | archived
agent=<str>, # Name of the producing agent (default: "")
content=<str>, # Non-empty full artifact content — REQUIRED
)
CLI equivalent (scripting/dispatch contexts):
<sam_cli/> artifact register \
--item-id <identifier> \
--artifact-type <str> \
--artifact-id <str> \
--status "current" \
--agent <str> \
--content <str>
--status and --agent are optional (same defaults as the MCP form). The examples below use the
MCP form; substitute the same values into the CLI flags above for a scripting context.
Return value: dict with keys registered (bool), artifact_count (int), action
("added" or "updated"), content_stored (bool), messages, warnings. Check action
in your STATUS: DONE report — do NOT paste the full content.
Parameters
artifact_type
The registry of recognised type strings, the agent permitted to register each, and which types a
gate reads is dh_core/artifact_registry.py. The
decomposition-exit gate imports it, and a test holds every shipped registration against it, so it is
the only place a type is added or its writer changed. A call naming a (type, agent) pair it does
not declare fails that test. The rules governing the registry — ownership, registration, discovery —
are in docs/artifact-registry.md.
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 · +2 lines 77c7803ca6d6
- 1mo ago First seen · 159 lines · 84 tokens per session scan A e1329b485b29
create-artifact is a skill published in the GitHub repository Jamie-BitFlight/claude_skills (67 stars, last pushed 4d ago), licensed MIT. It adds 84 tokens to every session and 1,352 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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