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 GGGODLIN/claude-pr-review --skill bitbucket-pr-mutationgit clone --depth 1 https://github.com/GGGODLIN/claude-pr-reviewWrote 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/gggodlin/claude-pr-review/bitbucket-pr-mutation)<a href="https://agentmods.dev/skills/gggodlin/claude-pr-review/bitbucket-pr-mutation"><img src="https://agentmods.dev/badge/skills/gggodlin/claude-pr-review/bitbucket-pr-mutation/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/gggodlin/claude-pr-review/bitbucket-pr-mutation"><img src="https://agentmods.dev/badge/skills/gggodlin/claude-pr-review/bitbucket-pr-mutation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to medium
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 →
- medium Prompt Injection · line 46 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 47 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 48 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 51 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00071 | $0.02425 |
| Opus 5 | $0.00036 | $0.01213 |
| Sonnet 5 | $0.00014 | $0.00485 |
| Haiku 4.5 | $0.00007 | $0.00243 |
Grade A, and why
bitbucket-pr-mutation scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
All first-party writes use `scripts/bitbucket_pr_workflow.py`; never use raw curl or another client. How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bitbucket PR Mutation
All first-party writes use scripts/bitbucket_pr_workflow.py; never use raw curl or another client.
Route
- Read-only review or diff: use
bitbucket-pr-review. - Read-only status or metadata: outside this skill.
- V1:
create_pr,update_description,update_title,create_inline_comment,create_pr_comment. - Other writes: draft only and state
UNSUPPORTED_OPERATION.
Existing PR hard stop
Every existing-PR write first runs inspect --input ... with target metadata and optional drafts only. This read-only preflight returns the actor／author snapshot without requiring review basis or operations.
The stop is scoped by operation class, because the classes carry opposite risk. update_description and update_title overwrite author-owned content and cannot be undone from the API side, so both are owner-only, OPEN-only. Comments are additive, attributable to the actor, and deletable, so someone else's PR — or a merged/declined one — is a normal place to leave them.
Title sits with description rather than with comments even though it is one line: it is still the author's wording, and a workspace may feed titles into downstream automation (e.g. [Release]-prefixed titles driving release notifications), so renaming someone's PR can reach an audience beyond the PR page. What title does not share with description is the ceremony weight — see the tier table below.
| Preflight status | Comments (create_inline_comment, create_pr_comment) |
update_title |
update_description |
|---|---|---|---|
READY_FOR_PROPOSAL (own PR, OPEN) |
allowed | allowed | allowed |
READY_FOR_COMMENT_ONLY (foreign author, or state ≠ OPEN) |
allowed | blocked | blocked |
What ships with it
15 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.
- scripts/bitbucket_pr_workflow.py 4.9 KB runs code
- scripts/bitbucket_pr_workflow/__init__.py 253 B runs code
- scripts/bitbucket_pr_workflow/api.py 7.8 KB runs code
- scripts/bitbucket_pr_workflow/core.py 2.5 KB runs code
- scripts/bitbucket_pr_workflow/description.py 5.4 KB runs code
- scripts/bitbucket_pr_workflow/executor.py 65 KB runs code
- scripts/bitbucket_pr_workflow/review.py 7.0 KB runs code
- scripts/tests/test_api.py 22 KB runs code
- scripts/tests/test_cli.py 23 KB runs code
- scripts/tests/test_core.py 2.0 KB runs code
- scripts/tests/test_description.py 3.2 KB runs code
- scripts/tests/test_executor.py 74 KB runs code
- scripts/tests/test_no_raw_bitbucket_writes.py 8.2 KB runs code
- scripts/tests/test_review.py 9.1 KB runs code
- scripts/tests/test_support.py 9.6 KB runs code
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.
- 12d ago First seen · 95 lines · 71 tokens per session scan A ce87a2851af9
bitbucket-pr-mutation is a skill published in the GitHub repository GGGODLIN/claude-pr-review (114 stars, last pushed 19d ago), licensed MIT. It adds 71 tokens to every session and 2,425 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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