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/vectorize-io/hindsight/hs-releasenpx skills add vectorize-io/hindsight --skill hs-releasegit clone --depth 1 https://github.com/vectorize-io/hindsightWhat 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 | $0.00045 | $0.01435 |
| Opus 5 | $0.00023 | $0.00718 |
| Sonnet 5 | $0.00009 | $0.00287 |
| Haiku 4.5 | $0.00005 | $0.00144 |
Grade A, and why
hs-release 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 2d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hindsight Release
Cut a core Hindsight release and open the accompanying changelog/blog PR. This is for the core
product version (API, clients, CLI, control plane, Helm). Integrations are versioned
independently — use scripts/release-integration.sh for those, not this skill.
The release is irreversible and outward-facing: it tags a version and pushes it straight to
main, which triggers CI that publishes packages to PyPI / npm / Helm. Confirm the version number
and that the intended fixes are already merged to main before you start.
Step 0 — Pre-flight
- Decide the base. A release is cut from the latest
origin/main, never from a feature branch.git fetch origin --tagsfirst. Confirm the "couple of fixes" the user means are actually merged tomain(git log v<prev>..origin/main --oneline). - Find where
mainis checked out.mainis often already checked out in a sibling worktree (git worktree list). You cannot check outmainin a second worktree — run the release in the worktree that already holds it. If that worktree is dirty with throwaway cruft (.next-*tsconfig paths, screenshots),git stash push -u, fast-forward toorigin/main, run the release, thengit stash pop. - Pitfall: never pipe the checkout in an
&&chain likegit checkout main 2>&1 | tail && git reset --hard ...— the pipe's exit status istail's (always 0), so a failed checkout won't stop the chain and theresetfires on the wrong branch. Check out as its own command and verifygit branch --show-currentbefore resetting.
Step 1 — Cut the release
Run from the worktree on a clean main:
./scripts/release.sh <version> # e.g. 0.8.1 (no leading v)
release.sh bumps the version in every component, regenerates the OpenAPI spec + all client SDKs,
updates docs versioning, commits Release v<version>, tags v<version>, and pushes the commit
and tag directly to main. The push triggers the Release GitHub Actions workflow that builds
and publishes the packages. It is not a PR.
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.
- 2d ago First seen · 117 lines · 45 tokens per session scan A 41caeacb671b
hs-release is a skill published in the GitHub repository vectorize-io/hindsight (21,822 stars, last pushed 3d ago), licensed MIT. It adds 45 tokens to every session and 1,435 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 2026-08-30.
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