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gmail-watch

Detection engine for Gmail email watches: iterates the watch list, polls gws for new matching mail per watch, dedups, drops automated/self, and hands matches (labeled by sender) to the shared drafting turn. Provisioned and run automatically by the shared email-watch backing job.

63

Quality

76%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/google/gmail-watch/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

85%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is a well-structured, token-efficient overview with clear sequencing and recovery handling, and it appropriately offloads implementation to the bundled detect script; its only gap is that the body itself lacks concrete executable commands or invocation examples.

Suggestions

Add a short "Running detect" snippet showing the actual `gws`/script invocation and its key flags so the body is actionable without reading detect.ts.

Include one minimal example of a watch query and the labeled-match output handed to the drafting turn.

Show the `gws gmail +reply` approval-gate command in full rather than only naming it.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence — it covers only skill-specific behavior (watermarks, dedup, per-watch independence, first-run baselines) without explaining what Gmail or polling is, and every section earns its place.

3 / 3

Actionability

It references the bundled `detect` script and mentions `gws gmail +reply`, but the body itself gives no executable commands or invocation syntax — concrete guidance is incomplete because the real logic lives in detect.ts.

2 / 3

Workflow Clarity

A clear sequenced workflow is laid out (the numbered "What it does" steps and "How a match becomes a reply") with explicit failure/recovery checkpoints (needs_auth, per-watch transient errors, no silent loss, first-run baselining).

3 / 3

Progressive Disclosure

The body is a concise overview that correctly defers the heavy logic to the real bundled file scripts/detect.ts, with clearly signaled one-level-deep references and no nested indirection.

3 / 3

Total

11

/

12

Passed

Description

67%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinct, naming concrete detection actions in a clear niche, but it leans technical and lacks an explicit when-to-use trigger clause, leaving completeness and trigger-term coverage slightly short of top marks.

Suggestions

Add an explicit trigger clause, e.g. "Use when managing Gmail email watches or auto-drafting replies to new matching mail".

Include more natural user-facing terms (e.g. "Gmail replies", "auto-reply") alongside the technical framing.

Soften jargon like "shared drafting turn" and "backing job" so a user reading the description recognizes the scenario.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "iterates the watch list, polls gws for new matching mail per watch, dedups, drops automated/self, and hands matches... to the shared drafting turn" — each a specific operation rather than vague language.

3 / 3

Completeness

It clearly answers what the skill does, but when-to-use is only implied via "email watches" with no explicit "Use when..." trigger clause, which per the guidelines caps completeness at 2.

2 / 3

Trigger Term Quality

Relevant terms like "Gmail email watches" and "matching mail" appear, but the framing is technical ("detection engine", "shared drafting turn", "backing job") and omits natural variations a user would say like "Gmail replies" or "auto-reply to email".

2 / 3

Distinctiveness Conflict Risk

It carves a clear niche as a Gmail watch detection engine run by a shared backing job, with triggers unlikely to overlap with unrelated skills.

3 / 3

Total

10

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

Total

14

/

16

Passed

Repository
Open-Curiosity/gini-agent
Reviewed

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