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 drivestream-lab/prayog-skills --skill open-draft-prgit clone --depth 1 https://github.com/drivestream-lab/prayog-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/drivestream-lab/prayog-skills/open-draft-pr)<a href="https://agentmods.dev/skills/drivestream-lab/prayog-skills/open-draft-pr"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/open-draft-pr/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/drivestream-lab/prayog-skills/open-draft-pr"><img src="https://agentmods.dev/badge/skills/drivestream-lab/prayog-skills/open-draft-pr.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 | $0.00079 | $0.00727 |
| Opus 5 | $0.00039 | $0.00364 |
| Sonnet 5 | $0.00016 | $0.00145 |
| Haiku 4.5 | $0.00008 | $0.00073 |
Grade A, and why
open-draft-pr 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 10d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Open Draft PR
Human-walker equivalent of Gateflow ForgeClient open/update Draft PR
(forge.action: open_draft_pr).
NON-NEGOTIABLE
- Require a complete
handoff.forgefrom the content skill (pinrequiresfilled). Incomplete → ask or block; do not invent title/body/labels. - Merge pin policy with handoff: pin wins on
action,draft,apply_labels,remove_labels. actionmust beopen_draft_pr. Open or update a Draft PR whendraft: true.- Apply only projection labels from policy. Never apply
*-lgtm. - When you (human) run this skill: explicit user confirmation before
mutate (chat yes / UI). Content skill recommendation is not authorization
by itself. When the pin sets
authorization: automatedon the matchingexternal-action(spec-pr-action,wave-pr-action), Gateflow ForgeClient may open/update the Draft PR without interactive STOP — that path does not invoke this skill. This skill remains human-confirm. - Tool-neutral Forge tooling (
gh, REST, …) — examples only.
Inputs
- Content-skill handoff with
external_action: trueandforge: - Pin node for the next
external-action(prd-pr-action,spec-pr-action, orwave-pr-action) - Workspace files referenced by
body_path/ artifact
Process
- Validate
handoff.forgeagainst pinrequiresand label policy. - Ensure branch exists / matches readiness (without inventing policy).
For
wave-pr-action, requirehead_refandbase_reffrom the handoff (wave branch → integration base). - Create or update Draft PR (title, body from readiness).
- Apply
apply_labels; removeremove_labels/ obsolete projection labels per pin. Wave Draft PRs typically carry no auto labels from the pin. - Report PR URL; emit forge-step handoff using
references/output-template.md —
artifact.pathisnull(this skill has no workspace artifact); do not invent a note file to hold the result. - Never merge. Never apply
*-lgtm. Wave merge stays human-only atwave-signoff.
What ships with it
5 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.
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.
- 10d ago First seen · 65 lines · 79 tokens per session scan A 86e03d11f157
open-draft-pr is a skill published in the GitHub repository drivestream-lab/prayog-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 79 tokens to every session and 727 once invoked, about $0.0004 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 2026-08-31.
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