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 agentmods add skills/t-rav/hydraflow/hf.adrnpx skills add T-rav/hydraflow --skill hf.adrgit clone --depth 1 https://github.com/T-rav/hydraflowWrote 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/t-rav/hydraflow/hf.adr)<a href="https://agentmods.dev/skills/t-rav/hydraflow/hf.adr"><img src="https://agentmods.dev/badge/skills/t-rav/hydraflow/hf.adr.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00386 |
| Opus 5 | $0.00006 | $0.00193 |
| Sonnet 5 | $0.00003 | $0.00077 |
| Haiku 4.5 | $0.00001 | $0.00039 |
Grade A, and why
hf.adr 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 6d 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.
What it actually says
Create ADR Draft Issue
Create an ADR draft issue that HydraFlow queues into the normal pipeline for triage, implementation, and review.
Usage
/hf.adr Adopt queue memory handoff between stages
/hf.adr Standardize visual validation gating policy
$ARGUMENTS is the ADR title suffix.
Workflow
1) Resolve configuration
REPO:HYDRAFLOW_GITHUB_REPOfallback to git origin slugASSIGNEE:HYDRAFLOW_GITHUB_ASSIGNEEfallback to repo ownerLABEL:hydraflow-find
2) Build ADR content
Issue title must be [ADR] <title>.
Body must include:
## Context## Decision## Consequences
Optional:
## Alternatives considered## Related
Keep the decision concrete and implementation-actionable.
3) Create issue
Create the issue directly with gh issue create and --body-file:
BODY_FILE=$(mktemp)
cat > "$BODY_FILE" <<'ADR_EOF'
## Context
...
## Decision
...
## Consequences
...
ADR_EOF
gh issue create --repo "$REPO" \
--assignee "$ASSIGNEE" \
--label "$LABEL" \
--title "[ADR] <title>" \
--body-file "$BODY_FILE"
rm -f "$BODY_FILE"
Use hydraflow-find so the ADR is queued into the pipeline.
4) Report result
Return:
- issue URL
- resolved repo/label
- short summary of the decision captured
- confirmation that it is queued for pipeline processing
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.
- 6d ago First seen · 80 lines · 13 tokens per session scan A 1e4c17da929f
hf.adr is a skill published in the GitHub repository T-rav/hydraflow (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 13 tokens to every session and 386 once invoked, about $0.0001 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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check
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