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job-apply

Fill in a job application in the connected Chrome browser from a prepared packet and submit it only after explicit approval.

Quality

79%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./.claude/skills/job-apply/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

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

The body is an exemplary lean workflow: exact commands, explicit stop/approval checkpoints, feedback loops for edits and failures, and strong safety rules including treating page instructions as data. Its only real weakness is progressive disclosure — it leans on several files (tracker script, profile.yaml, packets) that are not part of the reviewed bundle, leaving the structure unverifiable.

Suggestions

Ship scripts/tracker.py inside the skill's scripts/ directory (or document its command interface in a short reference file) so the invoked commands actually resolve from the bundle.

Add a one-level-deep pointer explaining the profile.yaml "regions block" (or bundle profile.yaml's schema) so the region-based rules for work authorisation, sponsorship and salary are reachable.

Clarify where the "NEEDS DAISY" convention is defined (e.g., a note in the packet README or a reference file) so the term is self-contained for a fresh session.

DimensionReasoningScore

Conciseness

The body is ~40 lines of pure instruction with zero filler: no explanations of concepts Claude already knows, no padded sections — "Fill every field you can from profile.yaml and the packet" and "STOP and wait. Do not click submit" are maximally lean. Every token earns its place, matching the 'lean and efficient' anchor; there is no over-explanation to justify a 4.

5 / 5

Actionability

Guidance is fully concrete and executable: exact commands ("python3 scripts/tracker.py get <app_id>", "set <app_id> awaiting_approval"), an enumerated packet file list, explicit decision branches for approve/skip/edit, and a defined failure path ("If there is no confirmation evidence, set status failed"). The common cases are all covered; the minor undefined convention ("NEEDS DAISY items") is external data explicitly routed to the user, not a gap in instructions.

5 / 5

Workflow Clarity

Steps 1-9 form a clear sequence with explicit validation checkpoints and feedback loops: empty-queue check, asking for NEEDS DAISY items upfront, stopping at login/CAPTCHA/MFA, a filled/blank-field review table, a hard STOP before submit, an edit-apply-redisplay loop, and confirmation-evidence verification before reporting success. This is a consequential/batch-capable workflow ("all" mode) whose validation is thorough enough for the top anchor — the destructive-op cap does not apply because the approval gate and evidence check are explicit.

5 / 5

Progressive Disclosure

The body itself is well-sectioned (Inputs/Steps/Rules), but it depends on referenced files — "scripts/tracker.py", the packet files (job.md, cv.md, answers.md, ...), "profile.yaml" and its "regions block" — none of which exist in the skill's bundle (no scripts/, references/, or assets/ directories are present), so the split cannot be verified and key referenced semantics (e.g., the regions block) are unreachable. The under-50-line simple-skill exception does not apply because the skill does need external files, and those files are missing from the bundle; it is not a 2 since nothing is wrongly inlined and no references are buried.

3 / 5

Total

18

/

20

Passed

Description

57%Weight 40%Scale 1-5

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 states a specific, distinctive capability in lean third-person form, but it omits any 'when to use this' trigger guidance and lacks the natural phrasing variations a user would say. The explicit-approval qualifier is a good safety signal, yet completeness is capped by the missing invocation trigger.

Suggestions

Add an explicit trigger clause, e.g. "Use when the user asks to apply for a job, fill out or submit a job application, or work through the application queue."

Include natural synonym phrasing such as "apply for a job" or "fill out a job application form" alongside the existing keywords so it matches how users actually phrase the request.

Briefly signal the skill's operating inputs (packet-based, queue-driven via app_id/next/all) so the 'what' covers the workflow's actual scope.

DimensionReasoningScore

Specificity

The description names its domain ("job application", "connected Chrome browser", "prepared packet") and two concrete actions ("Fill in a job application" and "submit it only after explicit approval"), matching the anchor for 1-2 concrete actions. It is not a 4 because it stops at two actions and omits the rest of the skill's coverage (queue selection, field review table, status tracking), and not a 2 because the actions given are concrete rather than generic.

3 / 5

Completeness

The 'what' is clear (fill in a job application from a prepared packet in Chrome and submit only after explicit approval), but there is no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines. It is not a 2 because the 'what' is concrete and specific, not vague.

3 / 5

Trigger Term Quality

Relevant keywords are present ("job application", "submit", "approval", "Chrome browser"), but common natural variations users would say are missing ("apply for a job", "fill out an application", "job application form"). This lands on 'some relevant keywords but missing common variations or synonyms' rather than the good-coverage anchor at 4.

3 / 5

Distinctiveness Conflict Risk

The description carves out a clear niche — filling job applications from a prepared packet in a connected Chrome browser with an explicit-approval gate — with trigger terms unlikely to collide with other skills. It matches the 'clear niche with distinct triggers; minimal conflict risk' anchor; the neighboring anchor 4 would require noticeable overlap risk with related skills, which is not present.

5 / 5

Total

14

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 6 missing

Warning

Total

15

/

16

Passed

Repository

Daisy-Faith-Auma/ai-job-agent

Path

.claude/skills/job-apply/SKILL.md

Reviewed

Table of Contents

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