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 ChainGPT-org/chaingpt-claude-skill --skill updategit clone --depth 1 https://github.com/ChainGPT-org/chaingpt-claude-skillWrote 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/chaingpt-org/chaingpt-claude-skill/update)<a href="https://agentmods.dev/skills/chaingpt-org/chaingpt-claude-skill/update"><img src="https://agentmods.dev/badge/skills/chaingpt-org/chaingpt-claude-skill/update/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/chaingpt-org/chaingpt-claude-skill/update"><img src="https://agentmods.dev/badge/skills/chaingpt-org/chaingpt-claude-skill/update.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 Rogue Agent · line 3 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00038 | $0.01292 |
| Opus 5.5 | $0.00015 | $0.00517 |
| Sonnet 5.5 | $0.00008 | $0.00258 |
| Haiku 4.5 | $0.00004 | $0.00129 |
Grade A, and why
update scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChainGPT Skill Update Manager
When the user invokes this skill, follow these steps in order:
Step 1: Check the Prepared Local Checkout
Use the prepared local checkout described in the root README. Do not update a marketplace cache or replace files in a running plugin session. Have the user stop that session before applying changes, or prepare a separate checkout for the next session.
From the checkout root, read the installed version and check for local changes:
cat VERSION
git status --short
Report the current version. If there are local changes, stop the update and let the user preserve them; do not stash, reset, overwrite, or merge them automatically.
Step 2: Check for Updates
Verify that origin is the intended ChainGPT repository. Fetch updates without applying them, then record the full commit SHA from the fetched origin/main:
git -c core.hooksPath=/dev/null fetch origin main
CHAINGPT_REVIEWED_COMMIT="$(git rev-parse --verify origin/main)"
printf '%s\n' "$CHAINGPT_REVIEWED_COMMIT"
git log --oneline "HEAD..$CHAINGPT_REVIEWED_COMMIT"
git diff --stat HEAD "$CHAINGPT_REVIEWED_COMMIT"
Retain that exact SHA throughout review and application. If a later command runs in a fresh shell, set CHAINGPT_REVIEWED_COMMIT to the recorded literal SHA, never to a freshly resolved remote ref.
- If
HEADequals the recorded SHA, report that no update is available. - If the histories diverge or the local checkout is ahead, stop and report the difference. Do not reset or create a merge commit.
- Otherwise, proceed to review the fetched commit before changing the checkout or installing dependencies.
Step 3: Review the Exact Update
Inspect the full diff against the recorded SHA. Pay particular attention to dependency manifests and lockfiles, mcp-server/dist/, the launcher, hooks, .mcp.json, plugin metadata, scripts and skills:
git diff HEAD "$CHAINGPT_REVIEWED_COMMIT"
Check the candidate revision's security and build results. Do not execute downloaded hooks, build scripts or dependency lifecycle scripts during review. Explain material changes and unresolved findings before asking to apply the exact recorded SHA. Categorize changes where useful:
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 · +18 lines f8f97a5bebc9
- 1mo ago First seen · 90 lines · 38 tokens per session scan A 1b9f0a5a18f5
update is a skill published in the GitHub repository ChainGPT-org/chaingpt-claude-skill (7 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,292 once invoked, about $0.0002 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 2026-08-30.
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